Yasunori Toshimitsu
ETH Zurich, Massachusetts Institute of Technology, The University of Tokyo
Papers
19
Total Citations
604
H-Index
8
About
Yasunori Toshimitsu is a robotics researcher whose work spans soft robotics, continuum manipulators, musculoskeletal humanoids, and biomimetic robotic systems. He is perhaps best known for his contribution to "An Overview of Soft Robotics" (2022), a highly influential survey that has amassed over 235 citations and serves as a foundational reference for researchers entering the field. His research consistently tackles one of soft robotics' most persistent challenges: developing robust, model-based control strategies for systems with inherently complex, compliant dynamics. Toshimitsu's contributions to dynamic motion control are particularly significant. His 2019 work on piecewise constant curvature modeling for multi-segment soft robots (164 citations) introduced a framework bridging soft and rigid-body mechanics, while subsequent papers on adaptive sliding mode control and task-space dynamic control pushed soft manipulators toward real-world applicability. His development of SoPrA, a scalable soft continuum arm with integrated proprioceptive sensing, further demonstrated his commitment to practical, deployable systems. Beyond soft robotics, Toshimitsu has explored dexterous biomimetic hands using reinforcement learning, musculoskeletal humanoids capable of adapting to muscle failure, and high-performance legged robots. This breadth reflects a researcher deeply invested in closing the gap between biological movement and robotic capability.
Research Focus
Key Achievements
Top Papers
- 1An Overview of Soft Robotics235 citations · 2022
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- 4Adaptive Dynamic Sliding Mode Control of Soft Continuum Manipulators27 citations · 2022
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