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Thomas P. McCarthy

2 accepted papers

2022

SoMoGym: A Toolkit for Developing and Evaluating Controllers and Reinforcement Learning Algorithms for Soft Robots

RA-L 2022

Soft robotsoffer a host of benefits over traditional rigid robots, including inherent compliance that lets them passively adapt to variable environments and operate safely around humans and fragile objects. However, that same compliance makes it hard to use model-based methods in planning tasks requ

Cited by 33SourceScholar
2021

SoMo: Fast and Accurate Simulations of Continuum Robots in Complex Environments

IROS 2021poster

Engineers and scientists often rely on their intuition and experience when designing soft robotic systems. The development of performant controllers and motion plans for these systems commonly requires time-consuming iterations on hardware. We present the SoMo (Soft Motion) toolkit, a software frame…

Cited by 40SourceScholar