Tomoki Yoshikawa

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About

Tomoki Yoshikawa is a robotics researcher whose work focuses on advancing mobile robot navigation and mapping in complex, hazardous environments. His key research areas include 3D mapping for search and rescue, motion planning under occlusion, and teleoperated robotic systems. Yoshikawa’s most notable contribution is his foundational work on constructing 3-D maps of rubble using teleoperated mobile robots equipped with a motion canceling camera system, a project developed as part of a national rescue robot initiative. This highly cited paper (17 citations) addresses the critical need for effective victim search and rescue in disaster zones. More recently, Yoshikawa has tackled the challenging problem of motion planning for mobile robots in dynamic environments, specifically addressing the occlusion problem—where obstacles suddenly appear from hidden areas. His proposed Velocity Obstacle-based motion planner (2018, 2019) offers a novel solution to prevent collisions in such scenarios. Through these contributions, Yoshikawa has demonstrated a sustained commitment to improving robotic autonomy and safety in unpredictable, real-world settings, making his work highly relevant for researchers in field robotics and disaster response.