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About

Makoto Naruse is a pioneering researcher whose work bridges the frontiers of soft robotics and nonlinear dynamical systems. His most influential contribution, "Analysis of Soft Robotics Based on the Concept of Category of Mobility" (2019, 20 citations), provides a foundational framework for understanding how flexible, deformable bodies achieve locomotion and manipulation—capabilities that elude traditional rigid robots. This work has become a key reference for researchers seeking to formalize the principles of soft robotic mobility. Earlier in his career, Naruse made significant advances in the control of flexible robotic manipulators, publishing two highly cited papers (1990, 1992; 6 citations each) that addressed the critical challenge of suppressing vibration in robot arms with flexible driving systems. His innovative use of high-gain distortion feedback improved oscillation damping, directly enhancing operational efficiency and precision. More recently, Naruse has ventured into unconventional computing, demonstrating adaptive decision-making using chaotic semiconductor lasers to solve multi-armed bandit problems with time-varying rewards (2021, 3 citations). This work exemplifies his talent for applying physical dynamics to computational challenges. With a career spanning three decades, Naruse’s research consistently tackles fundamental problems in robotics and complex systems, earning him recognition as a versatile and forward-thinking engineer.