Deep Reinforcement Learning for Tensegrity Robot Locomotion

28 Sep 2016Marvin ZhangXinyang GengJonathan BruceKen CaluwaertsMassimo VespignaniVytas SunSpiralPieter AbbeelSergey Levine

Tensegrity robots, composed of rigid rods connected by elastic cables, have a number of unique properties that make them appealing for use as planetary exploration rovers. However, control of tensegrity robots remains a difficult problem due to their unusual structures and complex dynamics... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet