Probabilistic gaze imitation and saliency learning in a robotic head

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2005, Issue , 2005, Pages 2865-2870

  Shon, Aaron P ^a   Grimes, David B ^a   Baker, Chris L ^a   Hoffman, Matthew W ^a   Shengli, Zhou ^a   Rao, Rajesh P N ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTER VISION; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

BAYESIAN ALGORITHMS; PROBABILISTIC GAZE IMITATION; ROBOTIC HEADS; SALIENCY LEARNING;

ROBOT PROGRAMMING;

EID: 33846174302     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2005.1570548     Document Type: Conference Paper

References (28)

1. E. Visalberghy and D. Fragaszy, "Do monkeys ape?" in Language and intelligence in monkeys and apes: comparative developmental perspectives, 1990, pp. 247-273.
2. R. W. Byrne and A. E. Russon, "Learning by imitation: a hierarchical approach," Behavioral and Brain Sciences, 2003.
3. A. N. Meltzoff and M. K. Moore, "Imitation of facial and manual gestures by human neonates," Science, vol. 198, pp. 75-78, 1977.
4. A. N. Meltzoff and M. K. Moore, "Explaining facial imitation: A theoretical model," Early Development and Parenting, vol. 6, pp. 179-192, 1997.
5. T. Fong, I. Nourbakhsh, and K. Dautenhahn, "A survey of socially interactive robots," Robotics and Autonomous Systems, vol. 42, no. 3-4, pp. 142-166, 2002.
6. M. Lungarella and G. Metta, "Beyond gazing, pointing, and reaching: a survey of developmental robotics," in EPIROB '03, 2003, pp. 81-89.
7. I. Fasel, G. O. Deak, J. Triesch, and J. R. Movellan, "Combining embodied models and empirical research for understanding the development of shared attention," in Proc. ICDL 2, 2002.
8. J. Demiris and G. Hayes, "A robot controller using learning by imitation," in Proc. ISIRS, 1994.
9. B. Scassellati, "Imitation and mechanisms of joint attention: A developmental structure for building social skills on a humanoid robot," Lecture Notes in Computer Science, vol. 1562, pp. 176-195, 1999.
10. B. Price, "Accelerating reinforcement learning with imitation," Ph.D. dissertation, University of British Columbia, 2003.
11. M. I. Jordan and D. E. Rumelhart, "Forward models: supervised learning with a distal teacher," Cognitive Science, vol. 16, pp. 307-354, 1992.
12. C. Breazeal, "Imitation as social exchange between humans and robots," in Proc. AISB99, 1999, pp. 96-104.
13. A. Billard and M. J. Mataric, "A biologically inspired robotic model for learning by imitation," in Proceedings of the Fourth International Conference on Autonomous Agents, C. Sierra, M. Gini, and J. S. Rosenschein, Eds. Barcelona, Catalonia, Spain: ACM Press, 2000, pp. 373-380.
14. R. T. Collins and Y. Liu, "On-line selection of discriminative tracking features," in Proc. ICCV 9, 2003, pp. 346-352.
15. Y. Wu, K. Toyama, and T. Huang, "Wide-range, person- and illumination-insensitive head orientation estimation," in AFGR00, 2000, pp. 183-188.
16. R. Brooks and A. Meltzoff, "The importance of eyes: How infants interpret adult looking behavior," Dev. Psych., vol. 38, pp. 958-966, 2002.
17. S. J. Blakemore, S. J. Goodbody, and D. M. Wolpert, "Predicting the consequences of our own actions: the role of sensorimotor context estimation," J. Neurosci., vol. 18, no. 18, pp. 7511-7518, 1998.
18. M. Haruno, D. Wolpert, and M. Kawato, "MOSAIC model for sensorimotor learning and control," Neural Computation, vol. 13, pp. 2201-2222, 2000.
19. R. P. N. Rao and A. N. Meltzoff, "Imitation learning in infants and robots: Towards probabilistic computational models," in Proc. AISB, 2003.
20. R. P. N. Rao, A. P. Shon, and A. N. Meltzoff, "A Bayesian model of imitation in infants and robots," in Imitation and Social Learning in Robots, Humans, and Animals. Cambridge University Press, 2004 (to appear).
21. J. R. Krebs and A. Kacelnik, "Decision making," in Behavioural Ecology (3rd ed.), J. R. Krebs and N. B. Davies, Eds. Blackwell Scientific Publishers, 1991, pp. 105-137.
22. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE PAMI, vol. 20, no. 11, pp. 1254-1259, 1998.
23. C. Breazeal and B. Scassellati, "Challenges in building robots that imitate people," in Imitation in Animals and Artifacts, K. Dautenhahn and C. Nehaniv, Eds. MIT Press, 2001.
24. C. Breazeal and J. Velasquez, "Toward teaching a robot "infant" using emotive communication acts," in Proc. 1998 Simulation of Adaptive Behavior, Workshop on Socially Situated Intelligence, 1998, pp. 25-40.
25. C. Breazeal, D. Buchsbaum, J. Gray, D. Gatenby, and B. Blumberg, "Learning from and about others: towards using imitation to bootstrap the social understanding of others by robots (to appear)," Artificial Life (special issue), 2004.
26. J. Demiris, S. Rougeaux, G. Hayes, L. Berthouze, and Y. Kuniyoshi, "Deferred imitation of human head movements by an active stereo vision head," in Proc. of the 6th IEEE International Workshop on Robot Human Communication, 1997.
27. Y. Nagai, K. Hosoda, A. Morita, and M. Asada, "Emergence of joint attention based on visual attention and self learning," in Proc. of 2nd International Symposium on Adaptive Motion of Animals and Machines, 2003.
28. M. W. Hoffman, A. P. Shon, D. B. Grimes, and R. P. N. Rao, "A Bayesian active vision architecture for shared attention," University of Washington, Tech. Rep. 2005-01-01, 2005.