A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning
PloS one, Volume 10, Issue 11, 2015, Pages e0141965-e0141965.
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the process of intention recognition and goal-ba...More
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