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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results