Abstract: This paper introduces a new technique for learning probabilistic models of mass and friction distributions of unknown objects, and performing robust sliding actions by using the learned ...
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Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning
Abstract: Understanding the environment is crucial for autonomous robots to perform navigation and manipulation tasks. Never-seen-before objects may have complex appearances and dynamics, where only ...
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