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cs.RO2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
Xianglong Tan, Zhikang Liu, Chen Yu +1
Robots with the ability to actively acquire power from surroundings will be greatly beneficial for long-term autonomy and to survive in uncertain environments. In this work, we pre…
cs.RO2021
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization
Keyan Zhai, Chu'an Li, Andre Rosendo
During learning trials, systems are exposed to different failure conditions which may break robotic parts before a safe behavior is discovered. Humans contour this problem by groun…