5 citations · 5 across the 5 of their papers we have counts for
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cs.RO2018★ 5 cited
Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning
David Surovik, Kun Wang, Kostas E. Bekris
The dynamical properties of tensegrity robots give them appealing ruggedness and adaptability, but present major challenges with respect to locomotion control. Due to high-dimensio…
cs.RO2018
Efficient Model Identification for Tensegrity Locomotion
Shaojun Zhu, David Surovik, Kostas E. Bekris +1
This paper aims to identify in a practical manner unknown physical parameters, such as mechanical models of actuated robot links, which are critical in dynamical robotic tasks. Key…