Skip to Main content Skip to Navigation
New interface
Journal articles

Modeling and Simulation of Elementary Robot Behaviors using Associative Memories

Abstract : Today, there are several drawbacks that impede the necessary and much needed use of robot learning techniques in real applications. First, the time needed to achieve the synthesis of any behavior is prohibitive. Second, the robot behavior during the learning phase is – by definition – bad, it may even be dangerous. Third, except within the lazy learning approach, a new behavior implies a new learning phase. We propose in this paper to use associative memories (self-organizing maps) to encode the non explicit model of the robot-world interaction sampled by the lazy memory, and then generate a robot behavior by means of situations to be achieved, i.e., points on the self-organizing maps. Any behavior can instantaneously be synthesized by the definition of a goal situation. Its performance will be minimal (not necessarily bad) and will improve by the mere repetition of the behavior.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download
Contributor : Claude Touzet Connect in order to contact the contributor
Submitted on : Monday, June 27, 2016 - 4:04:34 PM
Last modification on : Friday, October 22, 2021 - 3:29:57 AM
Long-term archiving on: : Wednesday, September 28, 2016 - 11:08:08 AM


Publisher files allowed on an open archive




Claude Touzet. Modeling and Simulation of Elementary Robot Behaviors using Associative Memories. International Journal of Advanced Robotic Systems, 2006, 3 (2), pp.165-170. ⟨10.5772/5742⟩. ⟨hal-01337592⟩



Record views


Files downloads