Thomas P. McCarthy
Papers
2
Total Citations
76
H-Index
2
About
Thomas P. McCarthy is a leading researcher in soft robotics, with a primary focus on developing computational tools that bridge the gap between simulation and real-world control. His major contributions center on the creation of the SoMo (Soft Motion) toolkit, a software framework that enables fast and accurate simulations of continuum robots in complex environments. This work, published in 2021 and cited 42 times, addresses the longstanding challenge of designing performant controllers without costly hardware iterations. Building on this foundation, McCarthy introduced SoMoGym in 2022 (34 citations), a specialized toolkit for developing and evaluating controllers and reinforcement learning algorithms for soft robots. SoMoGym leverages soft robots' inherent compliance—their ability to passively adapt to variable environments and operate safely around humans and fragile objects—while overcoming the difficulty of applying model-based methods to planning tasks. Together, these contributions have established McCarthy as a key figure in making soft robotics more accessible and practical for researchers and engineers. His work is particularly notable for democratizing advanced simulation and learning techniques, enabling faster innovation in this rapidly evolving field.
Research Focus
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Top Papers
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