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pro vyhledávání: '"Stark, Svenja"'
Despite recent progress in robot learning, it still remains a challenge to program a robot to deal with open-ended object manipulation tasks. One approach that was recently used to autonomously generate a repertoire of diverse skills is a novelty bas
Externí odkaz:
http://arxiv.org/abs/2008.04589
Acquiring new robot motor skills is cumbersome, as learning a skill from scratch and without prior knowledge requires the exploration of a large space of motor configurations. Accordingly, for learning a new task, time could be saved by restricting t
Externí odkaz:
http://arxiv.org/abs/1908.03936
Motor babbling and goal babbling has been used for sensorimotor learning of highly redundant systems in soft robotics. Recent works in goal babbling has demonstrated successful learning of inverse kinematics (IK) on such systems, and suggests that ba
Externí odkaz:
http://arxiv.org/abs/1906.09013
In quadruped gait learning, policy search methods that scale high dimensional continuous action spaces are commonly used. In most approaches, it is necessary to introduce prior knowledge on the gaits to limit the highly non-convex search space of the
Externí odkaz:
http://arxiv.org/abs/1904.12336
Publikováno v:
Machine Learning & Knowledge Extraction; Mar2022, Vol. 4 Issue 1, p276-315, 40p
