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About

Masahiko Yachida is a pioneering researcher in computer vision and autonomous robotics, whose career spans several decades of foundational contributions to omnidirectional imaging and mobile robot navigation. Best known for his development of novel omnidirectional vision systems, Yachida introduced landmark sensor architectures including the conic-mirror-based COPIS (COnic Projection Image Sensor) and the hyperboloidal-mirror-based HyperOmni Vision system, enabling robots to perceive their full surrounding environment in real time — a capability critical for practical autonomous navigation. His work consistently bridged theoretical sensing design with applied robotics challenges, tackling problems such as environmental map generation, ego-motion estimation, collision avoidance, and Simultaneous Localization and Mapping (SLAM). His early 1983 work on model-guided building monitoring demonstrated a remarkable foresight into intelligent robotic surveillance, while later contributions to reinforcement learning for real-world robot deployment (1996) reflect a broad, integrative research vision. Accumulating citations across more than two decades of publications, with his most cited work on real-time omnidirectional sensors reaching 32 citations, Yachida's research laid important groundwork for modern robot perception systems. Students and researchers working in mobile robotics, panoramic vision, or autonomous navigation will find his body of work an essential historical foundation.