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LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION
(2019-12-06)
The coexistence of humans and robots has been the aspiration of many scientific endeavors in the past century. Most anthropomorphic or industrial robots are highly articulated and complex machines, which are designed to ...
Learning Visuomotor Policies with Deep Movement Primitives
(ACM, 2021-07-02)
In this paper, we present a novel method to learn end-to-end visuomotor policies for robotic manipulators. The method computes
state-action mappings in a supervised learning manner from video
demonstrations and robot ...