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About

Yasuhiro Manabe is a robotics researcher whose work has significantly advanced the field of human-robot coexistence, with a particular focus on motion planning and collision avoidance for autonomous mobile robots operating in human-populated environments. His most influential contribution, "On Motion Planning of Mobile Robots which Coexist and Cooperate with Human" (2002), garnered 48 citations and introduced a pioneering stochastic process model for predicting human motion, enabling robots to generate probability distribution maps of human existence and navigate safely around unpredictable human movement. This foundational work was complemented by a companion study that same year on trajectory planning for autonomous robots avoiding human obstacles, which accumulated 18 citations. Manabe's research trajectory traces back to the late 1990s, where he explored both dynamic obstacle avoidance using stochastic predictors and the modeling of human behavioral intentions through Petri Net frameworks — the latter aimed at enabling home robots to anticipate and assist human actions proactively. Collectively, his body of work represents an early and meaningful contribution to safe human-robot interaction, laying conceptual groundwork for the socially aware robotic systems that continue to shape modern robotics research today.