Objects, actions and physical interactions

AAAI Workshop - Technical Report

Volumn WS-04-03, Issue , 2004, Pages 71-76

  Del Pobil, Angel P ^a   Cervera, Enric ^a   Chinellato, Eris ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); DATA PROCESSING; NEUROPHYSIOLOGY; ROBOTICS; SENSORS;

MANIPULATION TASK; PEG-IN-HOLE INSERTION PROBLEMS; ROBOTIC INTELLIGENCE; SYMBOL GROUNDING;

ARTIFICIAL INTELLIGENCE;

EID: 32144432857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Cervera, E.; del Pobil, A.P. 2000. A Qualitative-Connectionist Approach to Robotic Spatial Planning. Spatial Cognition and Computation 2(1):51-76.
2. Cervera, E.; del Pobil, A.P. 2002. Sensor-Based Learning for Practical Planning of Fine Motions in Robotics. International Journal of Information Sciences 145(1-2):147-168.
3. Coradeschi, S.; Saffiotti, A. 2003. An Introduction to the Anchoring Problem. Robotics and Autonomous Systems, Special issue on perceptual anchoring 43(2-3):85-96.
4. Culham, J. 2004. Human brain imaging reveals a parietal area specialized for grasping. In Functional Neuroimaging of Visual Cognition: Attention and Performance XX, 417-438. Kanwisher, N.; Duncan, J. eds. Oxford University Press.
5. del Pobil, A.P. 1998. The Grand Challenge is Called: Robotic Intelligence. In Tasks and Methods in Applied Artificial Intelligence, LNCS 1416, 15-24. del Pobil, A.P.; Mira, J.; Ali, M. eds. Springer, Berlin.
6. Fadiga, L.; Fogassi, L.; Gallese, V.; Rizzolatti, G. 2000. Visuomotor neurons: ambiguity of the discharge or 'motor' perception? Int. J. Psychophysiology, 35:165-177.
7. Goodale, M.A.; Westwood, D.A. 2004. An evolving view of duplex vision: separate but interacting cortical pathways for perception and action. Current Opinion in Neurobiology, 14(2):203-211.
8. Harnad, S. 1990. The Symbol Grounding Problem. Physica D. 42:335-346.
9. Harnad, S. 1995. Grounding Symbolic Capacity in Robotic Capacity. In The Artificial Life route to Artificial Intelligence, 277-286. Steels, L.; Brooks, R.A. eds. Lawrence Erlbaum.
10. Keysers, C.; Kohler, E.; Umiltà, M.A.; Fogassi, L.; Nanetti, L.; Gallese, V. 2003. Audio-visual mirror neurones and action recognition. Experimental Brain Research, 153:628-636.
11. Kohonen, T. 1995. Self-Organizing Maps. Springer Series in Information Sciences, 30. Springer, Berlin.
12. Milner, A.D.; Goodale, M.A. 1995. The visual brain in action. Oxford University Press.
13. Morales, A.; Chinellato, E.; Fagg, A.H.; del Pobil, A.P. 2004. Using experience for assessing grasp reliability. Intl. J. of Humanoid Robotics. In Press.
14. Rizzolatti, G.; Arbib, M.A. 1998. Language within our grasp. Trends in Neurosciences, 21:188-194.
15. Ultsch, A. 1993. Self-Organized feature maps for monitoring and knowledge acquisition of a chemical process. In Proc. Int. Conf. Artificial Neural Nets (ICANN93), 864-867.