Learning to build visual categories from perception-action associations
- 23 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 857-864
- https://doi.org/10.1109/iros.1997.655110
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Why topological maps are useful for learning in an autonomous agentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Living in a partially structured environment: How to bypass the limitations of classical reinforcement techniquesRobotics and Autonomous Systems, 1997
- Deliberation and reactivity in autonomous mobile robotsRobotics and Autonomous Systems, 1995
- PerAc: A neural architecture to control artificial animalsRobotics and Autonomous Systems, 1995
- A view-based neurocomputational system for relational map-making and navigation in visual environmentsRobotics and Autonomous Systems, 1995
- A Topological Neural Map for On-line Learning: Emergence of Obstacle Avoidance in a Mobile RobotPublished by MIT Press ,1994
- ART 2-A: An adaptive resonance algorithm for rapid category learning and recognitionNeural Networks, 1991
- The symbol grounding problemPhysica D: Nonlinear Phenomena, 1990
- A robust layered control system for a mobile robotIEEE Journal on Robotics and Automation, 1986
- Spatial mapping in the primate sensory projection: Analytic structure and relevance to perceptionBiological Cybernetics, 1977