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Tadashi Nagata is a pioneering figure in robotics and computer vision, whose work laid foundational concepts for active perception and robot manipulation. His research primarily focuses on active vision systems, visuo-motor coordination, and intelligent robot planning. Nagata’s major contributions include the development of heterogeneous visual sensor systems that enable robots to efficiently gather information from diverse sources, significantly advancing autonomous parts-picking tasks. His 1996 paper on this topic (5 citations) introduced an active vision system that remains influential in the field. Nagata also made early strides in robot planning with his 1973 work on problem solvers for block manipulation (4 citations), which integrated theorem proving and pattern matching. Notably, his 1997 paper on self-organization learning for visuo-motor coordination (4 citations) addressed robot adaptation in unstructured environments, a key challenge in robotics. Additionally, his 1974 work on a laser tracker for 3D feature extraction (4 citations) and his 1996 study on binocular vision planning with anthropomorphic features (4 citations) demonstrate his sustained impact on active vision and grasping. With a career spanning from the 1970s to the late 1990s, Nagata’s research has shaped modern approaches to robot perception and manipulation, earning recognition for its innovative integration of vision and control.