Curiosity-driven learning of traversability affordance on a mobile robot

2007 IEEE 6th International Conference on Development and Learning, ICDL

Volumn , Issue , 2007, Pages 13-18

  Uǧur, Emre ^a   Doǧar, Mehmet R ^a   Çakmak, Maya ^a   Şahin, Erol ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FLOW INTERACTIONS; LEARNING SYSTEMS; MOBILE ROBOTS; ROBOTICS; SUPPORT VECTOR MACHINES;

AFFORDANCE; LEARNING PROCESSES;

ROBOTS;

EID: 50849145169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEVLRN.2007.4354044     Document Type: Conference Paper

References (16)

1. J. Gibson, The Ecological Approach to Visual Perception. Lawrence Erlbaum Associates, 1986. Originally published in 1979.
2. E. Gibson, "Perceptual learning in development: Some basic concepts," Ecological Psychology, vol. 12, no. 4, pp. 295-302, 2000.
3. E. Gibson, "The world is so full of a number of things: On specification and perceptual learning," Ecological Psychology, vol. 15, no. 4, pp. 283-288. 2003.
4. K. MacDorman, "Responding to affordances: Learning and projecting a sensorimotor mapping," in IEEE Intl. Conf. on Robotics and Automation (ICRA 00), pp. 3253-3259. 2000.
5. I. Cos-Aguilera, L. Canamero, and G. Hayes, "Motivation-driven learning of object affordances: First experiments using a simulated Khepera robot," in In Proceedings of the 9th International Conference in Cognitive Modelling (ICCM'03), (Bamberg, Germany), April 2003.
6. I. Cos-Aguilera, L. Canamero, and G. M. Hayes, "Using a SOFM to learn object affordances," in In Proceedings of the 5th Workshop of Physical Agents, (Girona, Catalonia, Spain), March 2004.
7. P. Fitzpatrick, G. Metta, L. Natale, A. Rao, and G. Sandini, "Learning about objects through action-initial steps towards artificial cognition," in IEEE Intl. Conf. on Robotics and Automation (ICRA 03), pp. 3140-3145, 2003.
8. A. Stoytchev, "Toward learning the binding affordances of objects: A behavior-grounded approach," in In Proceedings of AAAI Symposium on Developmental Robotics, pp. 21-23, March 2005.
9. A. Stoytchev, "Behavior-grounded representation of tool affordances," in IEEE Intl. Conf. on Robotics and Automation (ICRA 05), (Barcelona, Spain), pp. 18-22, April 2005.
10. G. Fritz, L. Paletta, M. Kumar, G. Dorffner, R. Breithaupt, and E. Rome, "Visual learning of affordance based cues.," in Simulation of Adaptive Behavior (SAB), pp. 52-64, 2006.
11. P.-Y. Oudeyer, F. Kaplan, and V. V. Hafner, "Intrinsic motivation systems for autonomous mental development," IEEE Transactions on Evolutionaiy Computation, 2007. to appear.
12. E. Uǧur, M. R. Doǧar, O. Soysal, M. Çakmak, and E. Şahin, "MAC-Sim: Physics-based simulation of the KURT3D robot platform for studying affordances," 2006. MACS Project Deliverable 1.2.1.
13. D. Kim, J. Sun, S. M. Oh, J. M. Rehg, and A. Bobick, "Traversability classification using unsupervised on-line visual learning for outdoor robot navigation," in IEEE Intl. Conf. on Robotics and Automation (ICRA 06), (Orlando, FL), May 2006.
14. E. Ugur, M. R. Dogar, M. Cakmak, and E. Sahin, 'The learning and use of traversability affordance using range images on a mobile robot," in to appear in Proceedings of IEEE Intl. Conf. on Robotics and Automation (ICRA 07), April 2007.
15. K. Kira and L. A. Rendell, "A practical approach to feature selection," in ML92: Proceedings of the ninth international workshop on Machine learning, pp. 249-256, Morgan Kaufmann Publishers Inc., 1992.
16. A. Bordes, S. Ertekin, J. Weston, and L. Bottou, "Fast kernel classifiers with online and active learning," Journal of Machine Learning Research, vol. 6, pp. 1579-1619, September 2005.