Mouse over the circle segments to explore the diagram
Click on the architecture names in the right column to see the references
Use Ctrl-F to search
The following abbreviations are used for modalities shown in the diagram: S - smell, T - touch, A - audition, O - other sensors, P - proprioceotion, D - data input, V - vision, M - multimodal
Architecture labels are color-colored according to representation:
green - symbolic, blue - hybrid, red - emergent
REFERENCES
data
M. Dowell, “Requirements for Planners for High-level Monitoring and Control of Advanced Life Support Systems.” 1997
GPS/infrared sensor/IMU/camera
D. Kortenkamp, D. Schreckenghost, and R. P. Bonasso, “Three NASA application domains for integrated planning, scheduling and execution,” in IEEE Symposium on Intelligence in Automation and Robotics, 1998
microphone
D. Kortenkamp, D. Schreckenghost, and R. P. Bonasso, “Three NASA application domains for integrated planning, scheduling and execution,” in IEEE Symposium on Intelligence in Automation and Robotics, 1998
contact sensor
R. J. Firby, R. E. Kahn, P. N. Prokopowicz, and M. J. Swain, “An Architecture for Vision and Action,” in Proceedings of the 14th international joint conference on Artificial intelligence (IJCAI), 1995
IR sensor
R. J. Firby, R. E. Kahn, P. N. Prokopowicz, and M. J. Swain, “An Architecture for Vision and Action,” in Proceedings of the 14th international joint conference on Artificial intelligence (IJCAI), 1995
sonar
C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995
laser
R. P. Bonasso, R. J. Firby, E. Gat, D. Kortenkamp, D. P. Miller, and M. G. Slack, “Experiences with an architecture for intelligent, reactive agents,” J. Exp. Theor. Artif. Intell., no. 2–3, pp. 187–202, 1997
force sensor
R. J. Firby, R. E. Kahn, P. N. Prokopowicz, and M. J. Swain, “An Architecture for Vision and Action,” in Proceedings of the 14th international joint conference on Artificial intelligence (IJCAI), 1995
accelerometer
C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995
GPS
D. Kortenkamp, D. Schreckenghost, and R. P. Bonasso, “Three NASA application domains for integrated planning, scheduling and execution,” in IEEE Symposium on Intelligence in Automation and Robotics, 1998
mono camera
C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995
simulated
R. P. Bonasso, R. J. Firby, E. Gat, D. Kortenkamp, D. P. Miller, and M. G. Slack, “Experiences with an architecture for intelligent, reactive agents,” J. Exp. Theor. Artif. Intell., no. 2–3, pp. 187–202, 1997
simulated
B. Chikhaoui, H. Pigot, M. Beaudoin, G. Pratte, P. Bellefeuille, and F. Laudares, “Learning a Song: an ACT-R Model,” Proc. Int. Conf. Comput. Intell., pp. 405–410, 2009
simulated
J. R. Anderson, D. Bothell, M. D. Byrne, S. Douglass, C. Lebiere, and Y. Qin, “An Integrated Theory of the Mind,” Psychol. Rev., vol. 111, no. 4, pp. 1036–1060, 2004
real
J. G. Trafton and A. M. Harrison, “Embodied Spatial Cognition,” Top. Cogn. Sci., vol. 3, pp. 686–706, 2011
simulated
D. P. Benjamin, D. Lyons, and R. Lynch, “Effects of using a 3D model on the performance of vision algorithms,” in Proc. SPIE 9498, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 2015
stereo camera
D. P. Benjamin, D. Lyons, and R. Lynch, “Effects of using a 3D model on the performance of vision algorithms,” in Proc. SPIE 9498, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 2015
bumper
B. Hayes-Roth, P. Lalanda, P. Morignot, K. Pfleger, and M. Balabanovic, “Plans and Behavior in Intelligent Agents,” KSL Rep. No. 93-43, 1993
laser
B. Hayes-Roth, P. Lalanda, P. Morignot, K. Pfleger, and M. Balabanovic, “Plans and Behavior in Intelligent Agents,” KSL Rep. No. 93-43, 1993
sonar
B. Hayes-Roth, P. Lalanda, P. Morignot, K. Pfleger, and M. Balabanovic, “Plans and Behavior in Intelligent Agents,” KSL Rep. No. 93-43, 1993
IR sensor
B. Hayes-Roth, P. Lalanda, P. Morignot, K. Pfleger, and M. Balabanovic, “Plans and Behavior in Intelligent Agents,” KSL Rep. No. 93-43, 1993
simulated
P. Doyle and B. Hayes-Roth, “Guided Exploration of Virtual Worlds,” Rep. No. KSL 97-04, 1997
text
B. Hayes-Roth, P. Lalanda, P. Morignot, K. Pfleger, and M. Balabanovic, “Plans and Behavior in Intelligent Agents,” KSL Rep. No. 93-43, 1993
simulated
M. A. Freed, “Simulating human performance in complex, dynamic environments,” PhD Thesis, no. June, 1998
sonar
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
vibration
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
laser
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
GPS
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
attitude
M. Whalley, M. Takahashi, G. Schulein, M. Freed, D. Christian, A. Patterson-Hine, and R. Harris, “The NASA / Army Autonomous Rotorcraft Project,” in 59th American Helicopter Society Annual Forum, 2003
temperature
M. Whalley, M. Takahashi, G. Schulein, M. Freed, D. Christian, A. Patterson-Hine, and R. Harris, “The NASA / Army Autonomous Rotorcraft Project,” in 59th American Helicopter Society Annual Forum, 2003
accelerometer
M. Whalley, M. Takahashi, G. Schulein, M. Freed, D. Christian, A. Patterson-Hine, and R. Harris, “The NASA / Army Autonomous Rotorcraft Project,” in 59th American Helicopter Society Annual Forum, 2003
weight-on-wheels
M. Whalley, M. Takahashi, G. Schulein, M. Freed, D. Christian, A. Patterson-Hine, and R. Harris, “The NASA / Army Autonomous Rotorcraft Project,” in 59th American Helicopter Society Annual Forum, 2003
stereo camera
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
mono camera
M. Freed, W. Fitzgerald, and R. Harris, “Intelligent Autonomous Surveillance of Many Targets with few UAVS,” in Proceedings of the Research and Development Partnering Conference, Department of Homeland Security, Boston, 2005
simulated
M. Freed and R. Remington, “Making human-machine system simulation a practical engineering tool: An APEX overview,” in Proceedings of the 3rd International Conference on Cognitive Modelling, 2000
mono camera
W. Bridewell and P. F. Bello, “Incremental Object Perception in an Attention-Driven Cognitive Architecture,” Proc. 37th Annu. Meet. Cogn. Sci. Soc., pp. 279–284, 2015
mono camera
D. Martin, M. Rincon, M. C. Garcia-Alegre, and D. Guinea, “ARDIS: Knowledge-based dynamic architecture for real-time surface visual inspection,” Lect. Notes Comput. Sci., vol. 5601, pp. 395–404, 2009
simulated
S. Schaat, A. Wendt, M. Jakubec, F. Gelbard, L. Herret, and D. Dietrich, “ARS: An AGI agent architecture,” Lect. Notes Comput. Sci., vol. 8598, pp. 155–164, 2014
camera/ultrasonic sensor
S. Martens, G. A. Carpenter, and P. Gaudiano, “Neural sensor fusion for spatial visualization on a mobile robot,” Sensor Fusion and Decentralized Control in Robotic Systems. 1998
range
S. Martens, G. A. Carpenter, and P. Gaudiano, “Neural sensor fusion for spatial visualization on a mobile robot,” Sensor Fusion and Decentralized Control in Robotic Systems. 1998
mono camera
G. Bradski and S. Grossberg, “Fast Learning VIEWNET Architectures for Recognizing 3-D Objects from Multiple 2-D Views,” Proc. SPIE, vol. 2353, 1995
mono camera
S. Martens, G. A. Carpenter, and P. Gaudiano, “Neural sensor fusion for spatial visualization on a mobile robot,” Sensor Fusion and Decentralized Control in Robotic Systems. 1998
data
G. A. Carpenter, S. Grossberg, and J. H. Reynolds, “ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network,” Neural Networks, vol. 4, no. 5, pp. 565–588, 1991
touch sensor
R. Novianto, “Flexible Attention-based Cognitive Architecture for Robots,” PhD Thesis, 2014
microphone
R. Novianto, “Flexible Attention-based Cognitive Architecture for Robots,” PhD Thesis, 2014
stereo camera
R. Novianto, “Flexible Attention-based Cognitive Architecture for Robots,” PhD Thesis, 2014
sonar
E. Gat and G. Dorais, “Robot navigation by conditional sequencing,” in Proceedings of the International Conference on Robotics and Automation, 1994, pp. 1293–1299
stereo camera
E. Gat, “Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots,” AAAI, pp. 809–815, 1992
whiskers/laser/camera/compass
J. G. Fleischer and J. L. Krichmar, “Sensory Integration and Remapping in a Model of the Medial Temporal Lobe During Maze Navigaion by a Brain-Based Device,” J. Integr. Neurosci., vol. 6, no. 3, pp. 403–431, 2007
microphone
A. K. Seth, J. L. McKinstry, G. M. Edelman, and J. L. Krichmar, “Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device,” Cereb. Cortex, vol. 14, no. 11, pp. 1185–1199, 2004
whiskers
J. L. Krichmar, “Design principles for biologically inspired cognitive robotics,” Biol. Inspired Cogn. Archit., vol. 1, pp. 73–81, 2012
laser
J. L. Krichmar, “Design principles for biologically inspired cognitive robotics,” Biol. Inspired Cogn. Archit., vol. 1, pp. 73–81, 2012
IR sensor
J. G. Fleischer and G. M. Edelman, “Brain-Based Devices: An embodied approach to linking nervous system structure and function to behavior,” IEEE Robot. Autom. Mag., vol. 16, no. 3, pp. 33–41, 2009
conductivity
J. L. Krichmar and G. M. Edelman, “Brain-based devices for the study of nervous systems and the development of intelligent machines,” Artif. Life, vol. 11, no. 1–2, pp. 63–77, 2005
compass
J. L. Krichmar, “Design principles for biologically inspired cognitive robotics,” Biol. Inspired Cogn. Archit., vol. 1, pp. 73–81, 2012
odometer
J. G. Fleischer and G. M. Edelman, “Brain-Based Devices: An embodied approach to linking nervous system structure and function to behavior,” IEEE Robot. Autom. Mag., vol. 16, no. 3, pp. 33–41, 2009
mono camera
J. L. Krichmar, “Design principles for biologically inspired cognitive robotics,” Biol. Inspired Cogn. Archit., vol. 1, pp. 73–81, 2012
joint feedback
B. Rohrer, Robust performance of autonomous robots in unstructured environments. 2008
gyroscope
B. Rohrer, “S-Learning: A biomimetic algorithm for learning, memory, and control in robots,” in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, 2007, pp. 148–151
simulated
B. Rohrer, “Biologically inspired feature creation for multi-sensory perception,” Biol. Inspired Cogn. Archit., pp. 305–313, 2011
mono camera
B. Rohrer, M. Bernard, D. J. Morrow, F. Rothganger, and P. Xavier, “Model-free learning and control in a mobile robot,” in Proceedings of the 5th International Conference on Natural Computation, ICNC 2009, 2009, pp. 566–572
text
S. Varma, “A computational model of Tower of Hanoi problem solving,” PhD Thesis, 2006
radar/LIDAR/AIS/camera
L. Elkins, D. Sellers, and W. R. Monach, “The Autonomous Maritime Navigation (AMN) Project: Field Tests, Autonomous and Cooperative Behaviors, Data Fusion, Sensors, and Vehicles,” J. F. Robot., vol. 27, no. 6, pp. 81–86, 2010
radar
Y. Kuwata, M. T. Wolf, D. Zarzhitsky, and T. L. Huntsberger, “Safe maritime autonomous navigation with COLREGS, using velocity obstacles,” IEEE J. Ocean. Eng., vol. 39, no. 1, pp. 110–119, 2014
lidar
Y. Kuwata, M. T. Wolf, D. Zarzhitsky, and T. L. Huntsberger, “Safe maritime autonomous navigation with COLREGS, using velocity obstacles,” IEEE J. Ocean. Eng., vol. 39, no. 1, pp. 110–119, 2014
sonar
T. Huntsberger and G. Woodward, “Intelligent Autonomy for Unmanned Surface and Underwater Vehicles,” in Proceedings of the OCEANS’11, 2011, pp. 1–10
AIS sensor
L. Elkins, D. Sellers, and W. R. Monach, “The Autonomous Maritime Navigation (AMN) Project: Field Tests, Autonomous and Cooperative Behaviors, Data Fusion, Sensors, and Vehicles,” J. F. Robot., vol. 27, no. 6, pp. 81–86, 2010
light
T. Huntsberger and J. Rose, “BISMARC: A biologically inspired system for map-based autonomous rover control,” Neural Networks, vol. 11, no. 7–8, pp. 1497–1510, 1998
accelerometer
T. Huntsberger and J. Rose, “BISMARC: A biologically inspired system for map-based autonomous rover control,” Neural Networks, vol. 11, no. 7–8, pp. 1497–1510, 1998
stereo camera
Y. Kuwata, M. T. Wolf, D. Zarzhitsky, and T. L. Huntsberger, “Safe maritime autonomous navigation with COLREGS, using velocity obstacles,” IEEE J. Ocean. Eng., vol. 39, no. 1, pp. 110–119, 2014
simulated
T. Huntsberger, “Cognitive architecture for mixed human-machine team interactions for space exploration,” in IEEE Aerospace Conference Proceedings, 2011
360 deg camera
T. Huntsberger, “Process Algebra Approach for Action Recognition in the Maritime Domain,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
simulated
U. Faghihi, P. Fournier-Viger, and R. Nkambou, “A computational model for causal learning in cognitive agents,” Knowledge-Based Syst., vol. 30, pp. 48–56, 2012
bumper
R. Arrabales, A. Ledezma, and A. Sanchis, “A cognitive approach to multimodal attention,” J. Phys. Agents, vol. 3, no. 1, pp. 53–63, 2009
sonar array/bumpers
R. Arrabales, A. Ledezma, and A. Sanchis, “A cognitive approach to multimodal attention,” J. Phys. Agents, vol. 3, no. 1, pp. 53–63, 2009
sonar
R. Arrabales, A. Ledezma, and A. Sanchis, “A cognitive approach to multimodal attention,” J. Phys. Agents, vol. 3, no. 1, pp. 53–63, 2009
simulated
R. Arrabales, J. Munoz, A. Ledezma, G. Gutierrez, and A. Sanchis, “A Machine Consciousness Approach to the Design of Human-Like Bots,” in Believable Bots: Can Computers Play Like People?, P. Hingston, Ed. Springer-Verlag Berlin Heidelberg, 2013
visual odometry
R. Arrabales, A. Ledezma, and A. Sanchis, “A cognitive approach to multimodal attention,” J. Phys. Agents, vol. 3, no. 1, pp. 53–63, 2009
simulated
R. Arrabales, A. Ledezma, and A. Sanchis, “Simulating Visual Qualia in the CERA-CRANIUM Cognitive Architecture,” in From Brains to Systems, Springer New York, 2011
mono camera
R. Arrabales, A. Ledezma, and A. Sanchis, “A cognitive approach to multimodal attention,” J. Phys. Agents, vol. 3, no. 1, pp. 53–63, 2009
simulated
M. Conforth and Y. Meng, “Self-reorganizing knowledge representation for autonomous learning in social agents,” Proc. Int. Jt. Conf. Neural Networks, pp. 1880–1887, 2011
simulated
M. Conforth and Y. Meng, “Embodied Intelligent Agents with Cognitive Conscious and Unconscious Reasoning,” in Proceedings of the BMI ICBM, 2012, pp. 15–20
visual/text
P. C. R. Lane, A. Sykes, and F. Gobet, “Combining Low-Level Perception with Expectations in CHREST,” in Proceedings of the European Cognitive Science Conference, 2003, pp. 205–210
text
P. C. R. Lane, A. Sykes, and F. Gobet, “Combining Low-Level Perception with Expectations in CHREST,” in Proceedings of the European Cognitive Science Conference, 2003, pp. 205–210
simulated
P. C. R. Lane, A. Sykes, and F. Gobet, “Combining Low-Level Perception with Expectations in CHREST,” in Proceedings of the European Cognitive Science Conference, 2003, pp. 205–210
simulated sonar sensor
R. Sun, T. Peterson, and E. Merrill, “A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making,” Appl. Intell., vol. 11, pp. 109–127, 1999
simulated
R. Sun and P. Fleischer, A Cognitive Social Simulation of Tribal Survival Strategies: The Importance of Cognitive and Motivational Factors, vol. 12. 2012
data
J. D. Brooks, N. Wilson, and R. Sun, “The effects of performance motivation: A computational exploration of a dynamic decision making task,” Proc. First Int. Conf. Brain-Mind, pp. 7–14, 2012
simulated
W. Zachary, T. Santarelli, J. Ryder, and J. Stokes, “Developing a multi-tasking cognitive agent using the COGNET/iGEN integrative architecture,” 2000
camera/microphone
A. Romero-Garcés, L. V. Calderita, J. Martinez-Gomez, J. P. Bandera, R. Marfil, L. J. Manso, P. Bustos, and A. Bandera, “The cognitive architecture of a robotic salesman,” Conf. Spanish Assoc. Artif. Intell., vol. 15, no. 6, 2015
microphone
A. Romero-Garcés, L. V. Calderita, J. Martinez-Gomez, J. P. Bandera, R. Marfil, L. J. Manso, P. Bustos, and A. Bandera, “The cognitive architecture of a robotic salesman,” Conf. Spanish Assoc. Artif. Intell., vol. 15, no. 6, 2015
touchscreen
A. Romero-Garcés, L. V. Calderita, J. Martinez-Gomez, J. P. Bandera, R. Marfil, L. J. Manso, P. Bustos, and A. Bandera, “The cognitive architecture of a robotic salesman,” Conf. Spanish Assoc. Artif. Intell., vol. 15, no. 6, 2015
laser
A. Romero-Garcés, L. V. Calderita, J. Martinez-Gomez, J. P. Bandera, R. Marfil, L. J. Manso, P. Bustos, and A. Bandera, “The cognitive architecture of a robotic salesman,” Conf. Spanish Assoc. Artif. Intell., vol. 15, no. 6, 2015
odometry
P. Nunez, L. J. Manso, P. Bustos, P. Drews-Jr, and D. G. Macharet, “Towards a new Semantic Social Navigation Paradigm for Autonomous Robots using CORTEX,” in IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2016) - BAILAR2016 Workshop, 2016
simulated
P. Bustos, L. J. Manso, J. P. Bandera, A. Romero-Garcés, L. V. Calderita, R. Marfil, and A. Bandera, “A unified internal representation of the outer world for social robotics,” in Proceedings of the Second Iberian Robotics Conference, 2016
Kinect
A. Romero-Garcés, L. V. Calderita, J. Martinez-Gomez, J. P. Bandera, R. Marfil, L. J. Manso, P. Bustos, and A. Bandera, “The cognitive architecture of a robotic salesman,” Conf. Spanish Assoc. Artif. Intell., vol. 15, no. 6, 2015
camera/microphone
T. C. Henderson, E. Cohen, A. Joshi, E. Grant, M. Draelos, and N. Deshpande, “Symmetry as a basis for perceptual fusion,” in Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012, pp. 101–107
microphone
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
IR sensor
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
simulated
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
mono camera
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
Kinect
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
data
T. C. Henderson and A. Joshi, “The Cognitive Symmetry Engine,” Tech. Rep. UUCS-13-004, 2013
simulated
R. Evertsz, M. Pedrotti, P. Busetta, H. Acar, and F. E. Ritter, “Populating VBS2 with Realistic Virtual Actors,” in Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation, 2009
simulated
R. Evertsz, M. Pedrotti, P. Busetta, H. Acar, and F. E. Ritter, “Populating VBS2 with Realistic Virtual Actors,” in Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation, 2009
multimodal
H. I. Christensen, A. Sloman, G.-J. Kruijff, and J. L. Wyatt, Eds., Cognitive Systems. 2010
microphone
N. Hawes, J. L. Wyatt, M. Sridharan, M. Kopicki, S. Hongeng, I. Calvert, A. Sloman, G.-J. Kruijff, H. Jacobsson, M. Brenner, D. Skocaj, A. Vrecko, N. Majer, and M. Zillich, “The Playmate System,” in Cognitive Systems, 2010
laser
K. Sjoo, H. Zender, P. Jensfelt, G.-J. M. Kruijff, A. Pronobis, N. Hawes, and M. Brenner, “The Explorer System,” in Cognitive Systems, 2010
stereo camera
N. Hawes, J. L. Wyatt, M. Sridharan, M. Kopicki, S. Hongeng, I. Calvert, A. Sloman, G.-J. Kruijff, H. Jacobsson, M. Brenner, D. Skocaj, A. Vrecko, N. Majer, and M. Zillich, “The Playmate System,” in Cognitive Systems, 2010
simulated
B. Goertzel, C. Pennachin, N. Geissweiller, M. Looks, A. Senna, W. Silva, A. Heljakka, and C. Lopes, “An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life,” Front. Artif. Intell. Appl., vol. 171, pp. 161–175, 2008
simulated
B. Goertzel, C. Pennachin, N. Geissweiller, M. Looks, A. Senna, W. Silva, A. Heljakka, and C. Lopes, “An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life,” Front. Artif. Intell. Appl., vol. 171, pp. 161–175, 2008
data
B. Goertzel, N. Geisweiller, E. Monroe, M. Duncan, S. Yilma, M. Dastaw, M. Bayetta, A. Belayneh, M. Ikle’, and G. Yu, “Speculative scientific inference via synergetic combination of probabilistic logic and evolutionary pattern recognition,” in International Conference on Artificial General Intelligence, 2015
simulated
B. Goertzel, C. Pennachin, N. Geissweiller, M. Looks, A. Senna, W. Silva, A. Heljakka, and C. Lopes, “An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life,” Front. Artif. Intell. Appl., vol. 171, pp. 161–175, 2008
visual/text
S. E. Friedman, J. Taylor, and K. D. Forbus, “Learning Naive Physics Models by Analogical Generalization,” in Proceedings of the 2nd international analogy conference, 2009, pp. 145–154
simulated
K. Forbus, J. Usher, A. Lovett, K. Lockwood, and J. Wetzel, “CogSketch: Sketch understanding for cognitive science research and for education,” Top. Cogn. Sci., vol. 3, no. 4, pp. 648–666, 2011
GUI
T. R. Hinrichs and K. D. Forbus, “X Goes First: Teaching Simple Games through Multimodal Interaction,” Adv. Cogn. Syst., vol. 3, p. 218, 2014
text
J. B. Marchall and D. R. Hofstadter, “The Metacat Project: A Self-Watching model of Analogy-Making,” Cogn. Stud., vol. 4, no. 4, 1997
IR sensor
G. Maffei, D. Santos-Pata, E. Marcos, M. Sánchez-Fibla, and P. F. M. J. Verschure, “An embodied biologically constrained model of foraging: From classical and operant conditioning to adaptive real-world behavior in DAC-X,” Neural Networks, vol. 72, pp. 88–108, 2015
simulated IR sensor
M. Sanchez-Fibla and U. Bernardet, “Allostatic Control for Robot Behavior Regulation: A Comparative Rodent-Robot Study,” Adv. Complex Syst., vol. 13, no. 3, pp. 1–25, 2010
pressure sensor
J. Manzolli and P. F. M. J. Verschure, “Roboser: A Real-World Composition System,” pp. 0–9, 2005
camera/chemosensor/wind sensor
Z. Mathews, M. Lechon, J. M. B. Calvo, A. D. A. Duff, S. B. I. Badia, and P. F. M. J. Verschure, “Insect-like mapless navigation based on head direction cells and contextual learning using chemo-visual sensors,” 2009 IEEE/RSJ Int. Conf. Intell. Robot. Syst. IROS 2009, pp. 2243–2250, 2009
microphone
J. Manzolli and P. F. M. J. Verschure, “Roboser: A Real-World Composition System,” pp. 0–9, 2005
Reactable
V. Vouloutsi, M. B. Munoz, K. Grechuta, S. Lallee, A. Duff, J. ysard Llobet Puigbo, and P. F. M. J. Verschure, “A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant,” 4th Int. Symp. New Front. human-Robot Interact., 2015
chemosensor
Z. Mathews, M. Lechon, J. M. B. Calvo, A. D. A. Duff, S. B. I. Badia, and P. F. M. J. Verschure, “Insect-like mapless navigation based on head direction cells and contextual learning using chemo-visual sensors,” 2009 IEEE/RSJ Int. Conf. Intell. Robot. Syst. IROS 2009, pp. 2243–2250, 2009
compass
G. Maffei, D. Santos-Pata, E. Marcos, M. Sánchez-Fibla, and P. F. M. J. Verschure, “An embodied biologically constrained model of foraging: From classical and operant conditioning to adaptive real-world behavior in DAC-X,” Neural Networks, vol. 72, pp. 88–108, 2015
actuator feedback
G. Maffei, D. Santos-Pata, E. Marcos, M. Sánchez-Fibla, and P. F. M. J. Verschure, “An embodied biologically constrained model of foraging: From classical and operant conditioning to adaptive real-world behavior in DAC-X,” Neural Networks, vol. 72, pp. 88–108, 2015
mono camera
G. Maffei, D. Santos-Pata, E. Marcos, M. Sánchez-Fibla, and P. F. M. J. Verschure, “An embodied biologically constrained model of foraging: From classical and operant conditioning to adaptive real-world behavior in DAC-X,” Neural Networks, vol. 72, pp. 88–108, 2015
Kinect
V. Vouloutsi, M. B. Munoz, K. Grechuta, S. Lallee, A. Duff, J. ysard Llobet Puigbo, and P. F. M. J. Verschure, “A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant,” 4th Int. Symp. New Front. human-Robot Interact., 2015
stereo camera
V. Vouloutsi, M. B. Munoz, K. Grechuta, S. Lallee, A. Duff, J. ysard Llobet Puigbo, and P. F. M. J. Verschure, “A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant,” 4th Int. Symp. New Front. human-Robot Interact., 2015
text
R. Cantrell, J. Benton, K. Talamadupula, S. Kambhampati, P. Schermerhorn, and M. Scheutz, “Tell me when and why to do it!,” in Proceedings of the International Conference on Human-Robot Interaction (HRI), 2012, pp. 471–478
sonar/laser/camera/microphone/bumper
M. Scheutz and J. Kramer, “Reflection and reasoning mechanisms for failure detection and recovery in a distributed robotic architecture for complex robots,” Proc. IEEE Int. Conf. Robot. Autom., no. 1, pp. 3699–3704, 2007
microphone
R. Cantrell, M. Scheutz, P. Schermerhorn, and X. Wu, “Robust spoken instruction understanding for HRI,” in Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on, 2010, p. 275
simulated
K. Talamadupula, G. Briggs, T. Chakraborti, M. Scheutz, and S. Kambhampati, “Coordination in human-robot teams using mental modeling and plan recognition,” in Proceedings of the IEEE International Conference on Intelligent Robots and Systems, 2014, pp. 2957–2962
bumper
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
laser
S. Joshi, P. Schermerhorn, R. Khardon, and M. Scheutz, “Abstract planning for reactive robots,” in Proceedings of IEEE International Conference on Robotics and Automation, 2012, pp. 4379–4384
IR sensor
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
battery
M. Scheutz, P. Schermerhorn, J. Kramer, and D. Anderson, “First steps toward natural human-like HRI,” Auton. Robots, vol. 22, no. 4, pp. 411–423, 2007
sonar
M. Scheutz, P. Schermerhorn, J. Kramer, and D. Anderson, “First steps toward natural human-like HRI,” Auton. Robots, vol. 22, no. 4, pp. 411–423, 2007
shaft encoder
M. Scheutz, P. Schermerhorn, J. Kramer, and D. Anderson, “First steps toward natural human-like HRI,” Auton. Robots, vol. 22, no. 4, pp. 411–423, 2007
Kinect
J. R. Wilson, E. Krause, M. Rivers, and M. Scheutz, “Analogical Generalization of Actions from Single Exemplars in a Robotic Architecture,” in Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
simulated
T. Williams, R. Cantrell, G. Briggs, P. Schermerhorn, and M. Scheutz, “Grounding Natural Language References to Unvisited and Hypothetical Locations,” in Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence Grounding, 2013, pp. 947–953
laser
G. W. Ng, Y. S. Tan, X. H. Xiao, and R. Z. Chan, “DSO cognitive architecture in mobile surveillance,” in 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012
simulated
G. W. Ng, X. Xiao, R. Z. Chan, and Y. S. Tan, “Scene Understanding using DSO Cognitive Architecture,” in Proceedings of the 15th International Conference on Information Fusion (FUSION), 2012, pp. 2277–2284
mono camera
G. W. Ng, Y. S. Tan, X. H. Xiao, and R. Z. Chan, “DSO cognitive architecture in mobile surveillance,” in 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012
data
P. Hristova, G. Petkov, and B. Kokinov, “Does Irrelevant Information Play a Role in Judgment?,” in Proceedings of the 26th Annual Conference of the Cognitive Science Society, 2004, pp. 720–725
simulated
G. Petkov, K. Kiryazov, M. Grinberg, and B. Kokinov, “Modeling Top-Down Perception and Analogical Transfer with Single Anticipatory Mechanism,” in Proceedings of the Second European Cognitive Science Conference, 2007
mono camera
K. Kiryazov, G. Petkov, M. Grinberg, B. Kokinov, and C. Balkenius, “The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots,” Work. Anticip. Behav. Adapt. Learn. Syst., pp. 233–253, 2007
data
A. Szilágyi, I. Zachar, A. Fedor, H. P. de Vladar, and E. Szathmáry, “Breeding novel solutions in the brain: a model of Darwinian neurodynamics,” F1000Research, vol. 5, 2016
simulated
G. Pezzulo, “DiPRA: A layered agent architecture which integrates practical reasoning and sensorimotor schemas,” Conn. Sci., vol. 21, no. 4, pp. 297–326, 2009
simulated
G. Pezzulo, “DiPRA: A layered agent architecture which integrates practical reasoning and sensorimotor schemas,” Conn. Sci., vol. 21, no. 4, pp. 297–326, 2009
simulated
M. R. Hieb, D. Hille, and G. Tecuci, “Designing A Computer Opponent for Wargames: Integrating Planning, Knowledge Acquisition and Learning in WARGLES,” in Proceedings of thAAAI 93 Fall Symposium - Games: Planning and Learning, 1993
text
G. Tecuci, M. Boicu, T. Hajduk, D. Marcu, M. Barbulescu, C. Boicu, and V. Le, “A tool for training and assistance in emergency response planning,” in Proceedings of the Annual Hawaii International Conference on System Sciences, 2007, pp. 1–10
simulated
D. E. Kieras, “EPIC Architecture Principles of Operation.” 2004
simulated
D. E. Kieras, “EPIC Architecture Principles of Operation.” 2004
camera/microphone
D. E. Kieras, S. D. Wood, and D. E. Meyer, “Predictive engineering models based on the EPIC architecture for a multimodal high-performance human-computer interaction task,” ACM Trans. Comput. Interact., vol. 4, no. 3, pp. 230–275, 1997
dead reckoning
K. Kiryazov, G. Petkov, M. Grinberg, B. Kokinov, and C. Balkenius, “The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots,” Work. Anticip. Behav. Adapt. Learn. Syst., pp. 233–253, 2007
simulated
D. E. Kieras and A. J. Hornof, “Towards accurate and practical predictive models of active-vision-based visual search,” in Proceedings of the Conference on Human Factors in Computing Systems, 2014, pp. 3875–3884
telescope sensors
M. Drummond, J. L. Bresina, K. Swanson, A. Philips, and R. Levinson, “The APT Planning and Scheduling Manifesto,” NASA-TM-107906, no. August, 1991
simulated
A. B. Philips and J. L. Bresina, “NASA TileWorld,” NASA Tech. Rep. TR-FIA-91-04, 1991
simulated
A. B. Philips and J. L. Bresina, “NASA TileWorld,” NASA Tech. Rep. TR-FIA-91-04, 1991
data
S. Petrovic and S. L. Epstein, “Random Subsets Support Learning a Mixture of Heuristics,” Int. J. Artif. Intell. Tools, vol. 17, no. 3, pp. 501–520, 2008
microphone
S. L. Epstein, R. Passonneau, J. Gordon, and T. Ligorio, “The Role of Knowledge and Certainty in Understanding for Dialogue,” in AAAI Fall Symposium: Advances in Cognitive Systems, 2012
simulated range sensor
S. L. Epstein, A. Aroor, M. Evanusa, E. I. Sklar, and S. Parsons, “Learning Spatial Models for Navigation,” in International Workshop on Spatial Information Theory, 2015
sonar
E. I. Sklar, S. L. Epstein, S. Parsons, A. T. Ozgelen, J. P. Munoz, and J. Gonzalez, “A framework in which robots and humans help each other,” in Association for the Advancement of Artificial Intelligence Spring Symposium, 2011, pp. 54–59
simulated
S. L. Epstein, “On the Roles of Repetition in Language Teaching and Learning,” in The Proceedings of the Seventeenth Annual Cognitive Science Conference, 1995
simulated
S. L. Epstein, “On the Roles of Repetition in Language Teaching and Learning,” in The Proceedings of the Seventeenth Annual Cognitive Science Conference, 1995
mono camera
E. I. Sklar, S. L. Epstein, S. Parsons, A. T. Ozgelen, J. P. Munoz, and J. Gonzalez, “A framework in which robots and humans help each other,” in Association for the Advancement of Artificial Intelligence Spring Symposium, 2011, pp. 54–59
text
H. O. Ismail and S. C. Shapiro, “Cascaded Acts: Conscious Sequential Acting for Embodied Agents,” Tech. Rep. No. 99-10, 1999
sonar
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
IR sensor
H. H. Hexmoor, “Smarts are in the architecture!,” AAAI Tech. Rep. SS-95-02, pp. 322–325, 1995
camera/range sensor
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
microphone
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
touch sensor
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
whiskers
H. H. Hexmoor, “Smarts are in the architecture!,” AAAI Tech. Rep. SS-95-02, pp. 322–325, 1995
simulated
S. C. Shapiro and M. Kandefer, “A SNePS Approach to the Wumpus World Agent or Cassie Meets the Wumpus,” in IJCAI-05 Workshop on Nonmonotonic Reasoning, Action, and Change (NRAC’05): Working Notes, 2005
actuator feedback
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
mono camera
J. P. Bona, “MGLAIR: A Multimodal Cognitive Agent Architecture,” PhD Thesis, 2013
simulated
S. C. Shapiro and M. Kandefer, “A SNePS Approach to the Wumpus World Agent or Cassie Meets the Wumpus,” in IJCAI-05 Workshop on Nonmonotonic Reasoning, Action, and Change (NRAC’05): Working Notes, 2005
simulated
A. V. Samsonovich, “Modeling human emotional intelligence in virtual agents,” Integr. Cogn. AAAI Tech. Rep. FS-13-03, pp. 71–78, 2013
data
A. Lavin and S. Ahmad, “Evaluating Real-time Anomaly Detection Algorithms -- the Numenta Anomaly Benchmark,” in Proceedings of the14th International Conference on Machine Learning and Applications (ICMLA), 2015
simulated
S. Vere and T. Bickmore, “A basic agent,” Comput. Intell., vol. 6, no. 1, pp. 41–60, 1990
simulated
S. Vere and T. Bickmore, “A basic agent,” Comput. Intell., vol. 6, no. 1, pp. 41–60, 1990
simulated
S. A. Vere, “Organization of the basic agent,” ACM SIGART Bull., vol. 2, no. 4, pp. 164–168, 1991
bumper
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
text
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
laser
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
IR sensor
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
simulated
P. Langley, D. Choi, and N. Trivedi, “ICARUS Users Manual.” 2011
simulated
P. Langley, D. Choi, and N. Trivedi, “ICARUS Users Manual.” 2011
mono camera
N. Trivedi, P. Langley, P. Schermerhorn, and M. Scheutz, “Communicating, Interpreting, and Executing High-Level Instructions for Human-Robot Interaction,” in Proceedings of AAAI Fall Symposium: Advances in Cognitive Systems, 2011
GUI
D. K. Mitchell, “Workload Analysis of the Crew of the Abrams V2 SEP: Phase I Baseline IMPRINT Model,” Tech. Rep. ARL-TR-5028, 2009
vision/proprioception
R. A. I. Peters, K. A. Hambuchen, K. Kawamura, and D. M. Wilkes, “The Sensory Ego-Sphere as a Short-Term Memory for Humanoids,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001
microphone
R. A. Peters, K. Kawamura, D. M. Wilkes, K. A. Hambuchen, T. E. Rogers, and W. A. Alford, “ISAC Humanoid: An Architecture for Learning and Emotion,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001, no. 1, p. 459
IR sensor
R. A. Peters, K. Kawamura, D. M. Wilkes, K. A. Hambuchen, T. E. Rogers, and W. A. Alford, “ISAC Humanoid: An Architecture for Learning and Emotion,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001, no. 1, p. 459
sonar
R. A. Peters, K. Kawamura, D. M. Wilkes, K. A. Hambuchen, T. E. Rogers, and W. A. Alford, “ISAC Humanoid: An Architecture for Learning and Emotion,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001, no. 1, p. 459
force sensor
R. A. Peters, K. Kawamura, D. M. Wilkes, K. A. Hambuchen, T. E. Rogers, and W. A. Alford, “ISAC Humanoid: An Architecture for Learning and Emotion,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001, no. 1, p. 459
stereo camera
R. A. Peters, K. Kawamura, D. M. Wilkes, K. A. Hambuchen, T. E. Rogers, and W. A. Alford, “ISAC Humanoid: An Architecture for Learning and Emotion,” in Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2001, no. 1, p. 459
vision/audio
C. Breazeal, A. Edsinger, P. Fitzpatrick, and B. Scassellati, “Active vision for sociable robots,” IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans., vol. 31, no. 5, pp. 443–453, 2001
microphone
C. Breazeal and L. Aryananda, “Recognition of affective communicative intent in robot-directed speech,” Auton. Robots, vol. 12, no. 1, pp. 83–104, 2002
joint feedback
C. Breazeal and R. Brooks, “Robot Emotion: A Functional Perspective,” in Who Needs Emotions?: The Brain Meets the Robot, Oxford University Press, 2004
accelerometer
C. Breazeal and R. Brooks, “Robot Emotion: A Functional Perspective,” in Who Needs Emotions?: The Brain Meets the Robot, Oxford University Press, 2004
stereo camera
C. Breazeal and L. Aryananda, “Recognition of affective communicative intent in robot-directed speech,” Auton. Robots, vol. 12, no. 1, pp. 83–104, 2002
vision/audio
T. Madl and S. Franklin, “Constrained Incrementalist Moral Decision Making for a Biologically Inspired Cognitive Architecture,” in A Construction Manual for Robots’ Ethical Systems, R. Trappl, Ed. 2015
simulated
S. Franklin, T. Madl, S. Strain, U. Faghihi, D. Dong, S. Kugele, J. Snaider, P. Agrawal, and S. Chen, “A LIDA cognitive model tutorial,” Biol. Inspired Cogn. Archit., vol. 16, 2016
text
S. Franklin, A. Kelemen, and L. Mccauley, “IDA: A Cognitive Agent Architecture,” in Proceedings of the IEEE International Conference Systems, Man, and Cybernetics, 1998, vol. 3
simulated
G. Kachergis, D. Wyatte, R. C. O’Reilly, R. de Kleijn, and B. Hommel, “A continuous time neural model for sequential action,” Philos. Trans. R. Soc., vol. 369, no. 1655, 2014
mono camera
R. C. O’Reilly, D. Wyatte, S. Herd, B. Mingus, and D. J. Jilk, “Recurrent processing during object recognition,” Front. Psychol., vol. 4, 2013
camera/microphone
S. M. Anzalone, S. Ivaldi, O. Sigaud, and M. Chetouani, “Multimodal people engagement with iCub,” Biol. inspired Cogn. Archit., pp. 59–64, 2012
microphone
S. Ivaldi, N. Lyubova, D. Gerardeaux-Viret, A. Droniou, S. M. Anzalone, M. Chetouani, D. Filliat, and O. Sigaud, “Perception and human interaction for developmental learning of objects and affordances,” in IEEE-RAS International Conference on Humanoid Robots, 2012, pp. 248–254
force sensor
S. Ivaldi, S. M. Nguyen, N. Lyubova, A. Droniou, V. Padois, D. Filliat, P. Y. Oudeyer, and O. Sigaud, “Object learning through active exploration,” EEE Trans. Auton. Ment. Dev., vol. 6, no. 1, pp. 56–72, 2014
torque
S. Ivaldi, S. M. Nguyen, N. Lyubova, A. Droniou, V. Padois, D. Filliat, P. Y. Oudeyer, and O. Sigaud, “Object learning through active exploration,” EEE Trans. Auton. Ment. Dev., vol. 6, no. 1, pp. 56–72, 2014
Kinect
S. Ivaldi, S. M. Nguyen, N. Lyubova, A. Droniou, V. Padois, D. Filliat, P. Y. Oudeyer, and O. Sigaud, “Object learning through active exploration,” EEE Trans. Auton. Ment. Dev., vol. 6, no. 1, pp. 56–72, 2014
GUI
E. Hudlicka, G. Zacharias, and J. Psotka, “Increasing realism of human agents by modeling individual differences: Methodology, architecture, and testbed,” Simulating Hum. Agents, Am. Assoc. Artif. Intell. Fall 2000 Symp. Ser., pp. 53–59, 2000
text
D. R. Kuokka, “Integrating Planning, Execution, and Learning,” in Proceedings of the NASA Conference on Space Telerobotics, 1989, pp. 377–386
data
R. J. Duro, F. Bellas, and J. A. Becerra, “Evolutionary Architecture for Lifelong Learning and Real-Time Operation in Autonomous Robots,” in Evolving Intelligent Systems: Methodology and Applications, P. Angelov, D. P. Filev, and N. Kasabov, Eds. 2010, pp. 365–400
camera/microphone
F. Bellas, R. J. Duro, A. Faiña, and D. Souto, “Multilevel Darwinist Brain (MDB): Artificial evolution in a cognitive architecture for real robots,” IEEE Trans. Auton. Ment. Dev., vol. 2, no. 4, pp. 340–354, 2010
microphone
R. J. Duro, F. Bellas, and J. A. Becerra, “Evolutionary Architecture for Lifelong Learning and Real-Time Operation in Autonomous Robots,” in Evolving Intelligent Systems: Methodology and Applications, P. Angelov, D. P. Filev, and N. Kasabov, Eds. 2010, pp. 365–400
whiskers
F. Bellas, R. J. Duro, A. Faiña, and D. Souto, “Multilevel Darwinist Brain (MDB): Artificial evolution in a cognitive architecture for real robots,” IEEE Trans. Auton. Ment. Dev., vol. 2, no. 4, pp. 340–354, 2010
light
R. J. Duro, F. Bellas, J. A. Becerra, and R. Salgado, “A role for sleep in artificial cognition through deferred restructuring of experience in autonomous machines,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8575 LNAI, pp. 1–10, 2014
sonar
R. J. Duro, F. Bellas, and J. A. Becerra, “Evolutionary Architecture for Lifelong Learning and Real-Time Operation in Autonomous Robots,” in Evolving Intelligent Systems: Methodology and Applications, P. Angelov, D. P. Filev, and N. Kasabov, Eds. 2010, pp. 365–400
IR sensor
F. Bellas, R. J. Duro, A. Faiña, and D. Souto, “Multilevel Darwinist Brain (MDB): Artificial evolution in a cognitive architecture for real robots,” IEEE Trans. Auton. Ment. Dev., vol. 2, no. 4, pp. 340–354, 2010
simulated
F. Bellas, P. Caamano, A. Faina, and R. J. Duro, “Dynamic learning in cognitive robotics through a procedural long term memory,” Evol. Syst., vol. 5, no. 1, pp. 49–63, 2014
inclinometer
F. Bellas, R. J. Duro, A. Faiña, and D. Souto, “Multilevel Darwinist Brain (MDB): Artificial evolution in a cognitive architecture for real robots,” IEEE Trans. Auton. Ment. Dev., vol. 2, no. 4, pp. 340–354, 2010
force sensor
F. Bellas, R. J. Duro, A. Faiña, and D. Souto, “Multilevel Darwinist Brain (MDB): Artificial evolution in a cognitive architecture for real robots,” IEEE Trans. Auton. Ment. Dev., vol. 2, no. 4, pp. 340–354, 2010
simulated
F. Bellas, P. Caamano, A. Faina, and R. J. Duro, “Dynamic learning in cognitive robotics through a procedural long term memory,” Evol. Syst., vol. 5, no. 1, pp. 49–63, 2014
mono camera
R. J. Duro, F. Bellas, and J. A. Becerra, “Evolutionary Architecture for Lifelong Learning and Real-Time Operation in Autonomous Robots,” in Evolving Intelligent Systems: Methodology and Applications, P. Angelov, D. P. Filev, and N. Kasabov, Eds. 2010, pp. 365–400
vision/audio
B. F. Gore, “The Use of Behavior Models for Predicting Complex Operations,” in Proceedings of the19th Annual Conference on Behavior Representation in Modeling and Simulation, 2010
simulated
B. L. Hooey, B. F. Gore, C. D. Wickens, S. Scott-Nash, C. M. Socash, E. Salud, and D. C. Foyle, “Human Modelling in Assisted Transportation,” in Proceeding of the Human Modeling in Assisted Transportation Conference, 2010, pp. 327–333
simulated
B. F. Gore, B. L. Hooey, E. A. Mahlstedt, and D. C. Foyle, “Evaluating NextGen Closely Spaced Parallel Operations Concepts with Validated Human Performance Models: Scenario Development and Results,” Tech. Rep. NASA/TM-2013-216503 Eval., 2013
simulated
M. Paisner, M. T. Cox, M. Maynord, and D. Perlis, “Goal-Driven Autonomy for Cognitive Systems,” in Proceedings of the 36th Annual Conference of the Cognitive Science Society, 2013, pp. 2085–2090
simulated
J. A. Starzyk, J. Graham, and L. Puzio, “Needs, Pains, and Motivations in Autonomous Agents,” IEEE Trans. Neural Networks Learn. Syst., 2016
simulated
J. Bach, C. Bauer, and R. Vuine, “MicroPsi: Contributions to a broad architecture of cognition,” in Annual Conference on Artificial Intelligence, 2007, pp. 7–18
data
J. B. Maxwell, “Generative Music, Cognitive Modelling, and Computer-Assisted Composition in MusiCog and ManuScore,” PhD Thesis, 2014
text
P. Wang, “Natural language processing by reasoning and learning,” in Proceedings of the International Conference on Artificial General Intelligence, 2013, pp. 160–169
simulated
B. Goertzel, “A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability,” in Proceedings of the International Joint Conference on Neural Networks, 2008, pp. 2956–2965
simulated
B. Goertzel, “A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability,” in Proceedings of the International Joint Conference on Neural Networks, 2008, pp. 2956–2965
data
B. Goertzel, H. Pinto, A. Heljakka, I. F. Goertzel, M. Ross, and C. Pennachin, “Using dependency parsing and probabilistic inference to extract relationships between genes, proteins and malignancies implicit among multiple biomedical research abstracts,” in Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, 2006
simulated
B. Goertzel, “A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability,” in Proceedings of the International Joint Conference on Neural Networks, 2008, pp. 2956–2965
GUI
S. Deutsch and N. Cramer, “Omar Human Performance Modeling in a Decision Support Experiment,” in Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting, 1998, pp. 1232–1236
text
J. L. Pollock, “Planning in OSCAR,” Minds Mach., vol. 2, pp. 113–144, 1993
text
E. Fink and J. Blythe, “Prodigy bidirectional planning,” J. Exp. Theor. Artif. Intell., vol. 17, no. 3, pp. 161–200, 2005
wheel odometry/sonar/laser/camera
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
bumper
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
sonar
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
laser
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
odometer
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
mono camera
R. Simmons, R. Goodwin, K. Z. Haigh, S. Koenig, J. O’Sullivan, and M. M. Veloso, “XAVIER: Experience with a Layered Robot Architecture,” ACM Sigart Bull., vol. 8, no. 1–4, pp. 22–33, 1997
text
K. L. Myers, “Procedural Reasoning System User’s Guide. A Manual for Version 2.0,” 1997
simulated
G. Taylor and L. Padgham, “An Intelligent Believable Agent Environment,” AAAI Tech. Rep. WS-96-03, 1996
bumper
M. P. Georgeff, A. L. Lansky, and M. J. Schoppers, “Reasoning and Planning in Dynamic Domains: An Experiment with a Mobile Robot,” Tech. Note 380, 1987
sonar
M. P. Georgeff, A. L. Lansky, and M. J. Schoppers, “Reasoning and Planning in Dynamic Domains: An Experiment with a Mobile Robot,” Tech. Note 380, 1987
dead reckoning
M. P. Georgeff, A. L. Lansky, and M. J. Schoppers, “Reasoning and Planning in Dynamic Domains: An Experiment with a Mobile Robot,” Tech. Note 380, 1987
stereo camera
K. L. Myers, “A Procedural Knowledge Approach to Task-level Control,” in Proceedings of International Conference on Artificial Intelligence Planning, 1996
simulated
J. Gemrot, C. Brom, R. Kadlec, M. Bida, O. Burkert, M. Zemčák, R. Píbil, and T. Plch, “Pogamut 3 -- Virtual Humans Made Simple,” Adv. Cogn. Sci., pp. 211–243, 2010
simulated
J. Gemrot, C. Brom, R. Kadlec, M. Bida, O. Burkert, M. Zemčák, R. Píbil, and T. Plch, “Pogamut 3 -- Virtual Humans Made Simple,” Adv. Cogn. Sci., pp. 211–243, 2010
sonar/LIDAR/camera
D. Sofge, M. Bugajska, J. G. Trafton, D. Perzanowski, S. Thomas, M. Skubic, S. Blisard, N. Cassimatis, D. Brock, W. Adams, and A. Schultz, “Collaborating With Humanoid Robots in Space,” Int. J. Humanoid Robot., vol. 2, no. 2, pp. 181–201, 2005
microphone
J. G. Trafton, N. L. Cassimatis, M. D. Bugajska, D. P. Brock, F. E. Mintz, and A. C. Schultz, “Enabling effective human-robot interaction using perspective-taking in robots,” IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans., vol. 35, no. 4, pp. 460–470, 2005
sonar
J. G. Trafton, N. L. Cassimatis, M. D. Bugajska, D. P. Brock, F. E. Mintz, and A. C. Schultz, “Enabling effective human-robot interaction using perspective-taking in robots,” IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans., vol. 35, no. 4, pp. 460–470, 2005
LADAR
J. G. Trafton, N. L. Cassimatis, M. D. Bugajska, D. P. Brock, F. E. Mintz, and A. C. Schultz, “Enabling effective human-robot interaction using perspective-taking in robots,” IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans., vol. 35, no. 4, pp. 460–470, 2005
mono camera
J. G. Trafton, N. L. Cassimatis, M. D. Bugajska, D. P. Brock, F. E. Mintz, and A. C. Schultz, “Enabling effective human-robot interaction using perspective-taking in robots,” IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans., vol. 35, no. 4, pp. 460–470, 2005
text
J. R. Scally, N. L. Cassimatis, and H. Uchida, “Worlds as a unifying element of knowledge representation,” Biol. Inspired Cogn. Archit., vol. 1, pp. 14–22, 2012
GUI
J. From, P. Perrin, D. O’Neill, and J. Yen, “Supporting the Commander’s information requirements: Automated support for battle drill processes using R-CAST,” in Proceedings of the IEEE Military Communications Conference MILCOM, 2011
simulated
G. Ogasawara, “RALPH-MEA: A Real-Time, Decision-Theoretic Agent Architecture,” PhD Thesis, 1993
GUI
H.-M. Huang, “An Operator Experience with a Hierarchical Real-Time Control System (RCS),” NISTIR 5862, 1996
LADAR/camera
J. Albus, A. Lacaze, S. Legowik, S. Balakirsb, and E. Messina, “4D / RCS Sensory Processing and World Modeling on the Demo III Experimental Unmanned Ground Vehicles r a,” in Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002
contact sensor
K. N. Murphy, R. J. Norcross, and F. M. Proctor, “CAD directed robotic deburring,” in Proceedings of the second international symposium on robotics and manufacturing research, education, and applications, 1988
bumper
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
LADAR
C. Schlenoff, J. Albus, E. Messina, A. J. Barbera, R. Madhavan, and S. Balakirsky, “Using 4D / RCS to Address AI Knowledge Integration,” AI Mag., vol. 27, no. 2, pp. 71–82, 2006
laser
J. S. Albus, Hui-Min Huang, E. R. Messina, K. Murphy, M. Juberts, A. Lacaze, S. B. Balakirsky, M. O. Shneier, T. H. Hong, H. a. Scott, F. M. Proctor, W. P. Shackleford, J. L. Michaloski, A. J. Wavering, T. R. Kramer, N. G. Dagalakis, W. G. Rippey, K. a. Stouffer, and S. Legowik, “4D/RCS: A Reference Model Architecture For Unmanned Vehicle Systems Version 2.0,” in Proceedings of the SPIE 16th Annual International Symposium on AerospaceDefense Sensing Simulation and Controls, 2002
IR sensor
R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “Unstructured facility navigation by applying the NIST 4D/RCS architecture,” in Proceedings of International Conference on Cybernetics and Information Technologies, Systems and Applications, 2006, pp. 328–333
radar
J. Albus and A. Barbera, “Intelligent control and tactical behavior development: A long term NIST partnership with the army,” in 1st Joint Emergency Preparedness and Response/Robotic and Remote Systems Topical Meeting, 2006
GPS
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
shaft encoder
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
INS
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
actuator feedback
R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “Unstructured facility navigation by applying the NIST 4D/RCS architecture,” in Proceedings of International Conference on Cybernetics and Information Technologies, Systems and Applications, 2006, pp. 328–333
actuator feedback
J. Albus and A. Barbera, “Intelligent control and tactical behavior development: A long term NIST partnership with the army,” in 1st Joint Emergency Preparedness and Response/Robotic and Remote Systems Topical Meeting, 2006
stereo camera
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
mono camera
J. Albus, R. Bostelman, T. Hong, T. Chang, W. Shackleford, and M. Shneier, “THE LAGR PROJECT Integrating learning into the 4D/RCS Control Hierarchy,” in International Conference in Control, Automation and Robotics, 2006
text
J. W. Murdock and A. K. Goel, “Meta-case-based reasoning: self-improvement through self-understanding.,” J. Exp. Theor. Artif. Intell., vol. 20, no. 1, pp. 1–36, 2008
data
L. A. Coward, “Modelling Memory and Learning Consistently from Psychology to Physiology,” in Perception-Action Cycle, V. Cutsuridis, A. Hussain, and J. G. Taylor, Eds. 2011, pp. 63–133
bumper
A. Bandera, J. P. Bandera, P. Bustos, L. V. Calderita, F. Fern, R. Fuentetaja, F. J. Garc, A. Iglesias, J. Luis, R. Marfil, C. Pulido, C. Reuther, A. Romero-Garces, and C. Suarez, “CLARC: a Robotic Architecture for Comprehensive Geriatric Assessment,” in Proceedings of the WAF2016, 2016
microphone
A. Bandera, J. P. Bandera, P. Bustos, L. V. Calderita, F. Fern, R. Fuentetaja, F. J. Garc, A. Iglesias, J. Luis, R. Marfil, C. Pulido, C. Reuther, A. Romero-Garces, and C. Suarez, “CLARC: a Robotic Architecture for Comprehensive Geriatric Assessment,” in Proceedings of the WAF2016, 2016
camera/microphone
P. Bustos, J. Martinez-Gomez, I. Garcia-Varea, L. Rodriguez-Ruiz, P. Bachiller, L. Calderita, L. J. Manso, A. Sanchez, A. Bandera, and J. P. Bandera, “Multimodal Interaction with Loki,” in Workshop of Physical Agents, 2013
lidar
A. Bandera, J. P. Bandera, P. Bustos, L. V. Calderita, F. Fern, R. Fuentetaja, F. J. Garc, A. Iglesias, J. Luis, R. Marfil, C. Pulido, C. Reuther, A. Romero-Garces, and C. Suarez, “CLARC: a Robotic Architecture for Comprehensive Geriatric Assessment,” in Proceedings of the WAF2016, 2016
Kinect
A. Bandera, J. P. Bandera, P. Bustos, L. V. Calderita, F. Fern, R. Fuentetaja, F. J. Garc, A. Iglesias, J. Luis, R. Marfil, C. Pulido, C. Reuther, A. Romero-Garces, and C. Suarez, “CLARC: a Robotic Architecture for Comprehensive Geriatric Assessment,” in Proceedings of the WAF2016, 2016
simulated
Y. Vinokurov, C. Lebiere, S. Herd, and R. O’Reilly, “A Metacognitive Classifier Using a Hybrid ACT-R / Leabra Architecture,” in Lifelong learning: Papers from the 2011 AAAI workshop, 2011
touch sensor
X. Huang and J. Weng, “Inherent Value Systems for Autonomous Mental Development,” Int. J. Humanoid Robot., vol. 4, no. 2, pp. 407–433, 2007
microphone
J. Weng, “On developmental mental architectures,” Neurocomputing, vol. 70, no. 13–15, pp. 2303–2323, 2007
microphone/touch sensors
Y. Zhang, J. Weng, and W. S. Hwang, “Auditory learning: A developmental method,” IEEE Trans. Neural Networks, vol. 16, no. 3, pp. 601–616, 2005
joint feedback
X. Huang and J. Weng, “Inherent Value Systems for Autonomous Mental Development,” Int. J. Humanoid Robot., vol. 4, no. 2, pp. 407–433, 2007
simulated
Z. Ji, X. Huang, and J. Weng, “Learning of sensorimotor behaviors by a SASE agent for vision-based navigation,” in Proceedings of the International Joint Conference on Neural Networks, 2008
stereo camera
X. Huang and J. Weng, “Inherent Value Systems for Autonomous Mental Development,” Int. J. Humanoid Robot., vol. 4, no. 2, pp. 407–433, 2007
simulated
C. Eliasmith and T. C. Stewart, “A Large-Scale Model of the Functioning Brain,” Science (80-. )., vol. 338, no. 1202, 2012
mono camera
I. Kotseruba, “Visual Attention in Dynamic Environments and Its Application To Playing Online Games,” MSc Thesis, 2016
simulated
J. C. Wendelken, “SHRUTI-agent: A structured connectionist architecture for reasoning and decision-making,” PhD Thesis, 2003
simulated
J. C. Wendelken, “SHRUTI-agent: A structured connectionist architecture for reasoning and decision-making,” PhD Thesis, 2003
text
L. Shastri and D. R. Mani, “Massively parallel knowledge representation and reasoning: Taking a cue from the brain,” Mach. Intell. Pattern Recognit., vol. 20, pp. 3–40, 1997
simulated
P. S. Rosenbloom, A. Demski, and V. Ustun, “The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification,” J. Artif. Gen. Intell., vol. 0, no. 0, pp. 1–103, 2016
simulated
P. S. Rosenbloom, A. Demski, and V. Ustun, “The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification,” J. Artif. Gen. Intell., vol. 0, no. 0, pp. 1–103, 2016
text
J. R. Kirk and J. E. Laird, “Interactive Task Learning for Simple Games,” Adv. Cogn. Syst., vol. 3, pp. 13–30, 2014
camera/microphone
S. Mohan and J. E. Laird, “Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction,” AAAI Conf. Artif. Intell., pp. 387–394, 2014
lidar
J. E. Laird, K. R. Kinkade, S. Mohan, and J. Z. Xu, “Cognitive Robotics Using the Soar Cognitive Architecture,” in Proceedings of the 6th International Conference on Cognitive Modelling, 2004, pp. 226–330
laser
J. E. Laird, “Toward Cognitive Robotics,” SPIE Defense, Secur. Sens., 2009
odometer
J. E. Laird, K. R. Kinkade, S. Mohan, and J. Z. Xu, “Cognitive Robotics Using the Soar Cognitive Architecture,” in Proceedings of the 6th International Conference on Cognitive Modelling, 2004, pp. 226–330
simulated
N. A. Gorski and J. E. Laird, “Experiments in Transfer Across Multiple Learning Mechanisms,” in Group, 2006
mono camera
J. E. Laird, E. S. Yager, M. Hucka, and C. M. Tuck, “Robo-Soar: An integration of external interaction, planning, and learning using Soar,” Rob. Auton. Syst., vol. 8, no. 1–2, pp. 113–129, 1991
Kinect
J. R. Kirk and J. E. Laird, “Interactive Task Learning for Simple Games,” Adv. Cogn. Syst., vol. 3, pp. 13–30, 2014
simulated
N. A. Gorski and J. E. Laird, “Experiments in Transfer Across Multiple Learning Mechanisms,” in Group, 2006
whiskers
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
contact switch
J. H. Connell, “A Behavior Based Arm Controller,” IEEE Trans. Robot. Autom., vol. 5, no. 6, pp. 784–791, 1989
camera/infrared sensor
R. A. Brooks and A. M. Flynn, “Robot Beings,” in Proceedings of the IEEE/RSJ International Workshop on Intelligent Robots and Systems, 1989, pp. 2–10
sonar
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
IR sensor
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
laser
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
force sensor
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
compass
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
actuator feedback
J. H. Connell, “A Behavior Based Arm Controller,” IEEE Trans. Robot. Autom., vol. 5, no. 6, pp. 784–791, 1989
mono camera
R. A. Brooks, “Elephants don’t play chess,” Rob. Auton. Syst., vol. 6, no. 1–2, pp. 3–15, 1990
stereo camera
K. B. Sarachik, “Characterising an indoor environment with a mobile robot and uncalibrated stereo,” in Proceedings of the IEEE International Conference on Robotics and Automation, 1989
text
K. VanLehn and W. Ball, “Goal Reconstruction: How Teton Blends Situated Action and Planned Action,” in Architectures for Intelligence, K. VanLehn, Ed. 1989, pp. 147–188
sonar
T. M. Mitchell, “Plan-Then-Compile Architectures,” in ACM SIGART Bulletin, 1991, vol. 2, no. 4, pp. 136–139
battery
T. M. Mitchell, “Becoming Increasingly Reactive,” in Proceedings of the Eighth National Conference on Artificial Intelligence, 1990, pp. 1051–1058
text
L. Boloni, “Integrating perception, narrative, premonition and confabulatory continuation,” Biol. Inspired Cogn. Archit., vol. 4, 2014
body tracking suit/eye tracker/microphone
K. R. Thorisson, “Layered modular action control for communicative humanoids,” in Conference Proceedings of Computer Animation’97, 1997, pp. 134–143
microphone
G. R. Jonsdottir and K. R. Thorisson, “Teaching computers to conduct spoken interviews: Breaking the realtime barrier with learning,” in International Workshop on Intelligent Virtual Agents, 2009
tracking suit
K. R. Thorisson, “Machine Perception of Multimodal Natural Dialogue,” in Language, Vision and Music, P. McKevitt, S. O. Nullain, and C. Mulvihill, Eds. Amsterdam: John Benjamins, 2002, pp. 97–115
eye-tracking
K. R. Thorisson, “Machine Perception of Multimodal Natural Dialogue,” in Language, Vision and Music, P. McKevitt, S. O. Nullain, and C. Mulvihill, Eds. Amsterdam: John Benjamins, 2002, pp. 97–115
data gloves
K. R. Thorisson, “Machine Perception of Multimodal Natural Dialogue,” in Language, Vision and Music, P. McKevitt, S. O. Nullain, and C. Mulvihill, Eds. Amsterdam: John Benjamins, 2002, pp. 97–115
touch sensor
U. Pattacini, F. Nori, L. Natale, G. Metta, and G. Sandini, “An experimental evaluation of a novel minimum-jerk Cartesian controller for humanoid robots,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 1668–1674
camera/microphone/
J. Ruesch, M. Lopes, A. Bernardino, J. Hornstein, J. Santos-Victor, and R. Pfeifer, “Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub,” in Proceedings of the IEEE International Conference on Robotics and Automation, 2008, pp. 962–967
gyroscope
U. Pattacini, F. Nori, L. Natale, G. Metta, and G. Sandini, “An experimental evaluation of a novel minimum-jerk Cartesian controller for humanoid robots,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 1668–1674
force sensor
U. Pattacini, F. Nori, L. Natale, G. Metta, and G. Sandini, “An experimental evaluation of a novel minimum-jerk Cartesian controller for humanoid robots,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 1668–1674
stereo camera
U. Pattacini, F. Nori, L. Natale, G. Metta, and G. Sandini, “An experimental evaluation of a novel minimum-jerk Cartesian controller for humanoid robots,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 1668–1674