Ryo Terajima

Artificial Intelligence in Medicine (Canada), Tokyo University of Technology

Papers

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About

Ryo Terajima is a pioneering researcher at the intersection of soft robotics and embodied intelligence, whose work explores how physical body dynamics can be harnessed for computation and adaptive behavior. His research focuses on tensegrity robots—lightweight, deformable structures composed of struts and tendons—and their potential as platforms for resilient, bio-inspired machines. In his highly cited 2021 paper, Terajima demonstrated how simulated tensegrity robots can generate rich behavioral diversity purely through body–environment interactions, bypassing the need for complex controllers. This work, with 8 citations, established a foundation for understanding how elasticity and tight coupling between elements can be exploited rather than avoided. More recently, his 2025 study on multifunctional physical reservoir computing in soft tensegrity robots (7 citations) has broken new ground by showing that the inherent nonlinear dynamics of these soft bodies can perform real-time information processing. By treating the robot’s physical structure as a computational resource, Terajima’s work bridges robotics and unconventional computing, offering a path toward machines that are both adaptive and computationally capable. His contributions are shaping a new paradigm where soft, deformable bodies are not just actuators but intelligent systems.