Is it my body? - Body extraction from uninterpreted sensory data based on the invariance of multiple sensory attributes

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Volumn 3, Issue , 2004, Pages 2325-2330

  Yoshikawa, Yuichiro ^a   Tsuji, Yoshiki ^a   Hosoda, Koh ^a   Asada, Minoru ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; BIOLOGICAL ORGANS; IMAGE ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; SENSOR DATA FUSION; SET THEORY; VECTORS;

GAUSSIAN DISTRIBUTION; LEARNING MECHANISMS; SENSORY DATA; VARIANCE ANALYSIS;

INTELLIGENT ROBOTS;

EID: 14044251556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. A. Iriki, M. Tanaka, and Y. Iwamura, "Coding of modified body schema during tool use by macaque postcentral neurons," Neuroreport, vol. 7, pp. 2325-2330, 1996.
2. V. S. Ramachandran and S. Blakeslee, Phantoms in the Brain: Probing the Mysteries of the Human mind. William Mollow, 1998.
3. M. Asada, K. F. MacDorman, H. Ishiguro, and Y. Kuniyoshi, "Cognitive developmental robotics as a new paradigm for the design of humanoid robots," Robotics and Autonomous System, vol. 37, pp. 185-193, 2001.
4. Y. Yoshikawa, H. Kawanishi, M. Asada, and K. Hosoda, "Body scheme acquisition by cross modal map learning among tactile, image, and proprioceptive spaces," in Proc. of the Second Intl. Workshop on Epigenetic Robotics, 2002, pp. 181-184.
5. K. F. MacDorman, K. Tatani, Y. Miyazaki, and M. Koeda, "Proto-sysmbol emergence," in Proc. of the Intl. Conf. on Intelligent Robot and Systems, 2000, pp. 1619-1625.
6. A. Sotytchev, "Development and extension of the robot body schema," in Proc. of the third Intl. Workshop on Epigenetic Robotics, 2003, pp. 179-180.
7. P. Morasso and V. Sanguineti, "Self-organizing body schema for motor planning," Journal of Motor Behavior, vol. 27, no. 1, pp. 52-66, 1995.
8. P. Fitzpatrick and G. Metta, 'Toward manipulation-driven vision," in Proc. of the Intl. Conf. on Intelligent Robot and Systems, 2002, pp. 43-48.
9. Y. Yoshikawa, K. Hosoda, and M. Asada, "Does the invariance in multi-modalities represent the body scheme? - a case study with vision and proprioception -," in Proc. of the 2nd Intl. Symposium on Adaptive Motion of Animals and Machines, 2003, pp. SaP-II-1.
10. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society, vol. B-39, pp. 1-38, 1977.
11. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification Second Edition. John Wiley & Sons, Inc, 2001, ch. Maximum-Likelihood and Bayesian Parameter Estimation.
12. D. Philipona, J. O'Regan, and J.-P. Nadal, "Is there something out there? inferring space from sensorimotor dependencies." Neural Computation, vol. 15, no. 9, pp. 2029-2049, 2003.