Multi-method learning and assimilation

Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new strategy for behavior acquisition for domestic robots where the behaviors are acquired using multiple differing learning methods that are subsequently incorporated into a common behavior selection system, enabling them to be performed in appropriate situations. An example implementation of this strategy applied to the entertainment humanoid robot QRIO is introduced and the results are discussed. Key words: humanoid robot, multi-method learning, social learning

• Type: Journal
• Year: 2007
• Where: RAS
• Authors: Shinya Takamuku, Ronald C. Arkin
• Keywords: Behavior, Common Behavior Selection, Domestic Robots, RAS 2007