Jun Sato

Nagoya Institute of Technology, University of Cambridge, The University of Tokyo

Papers

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About

Jun Sato is a pioneering researcher in robotics and digital fabrication, whose work bridges the gap between uncalibrated systems and human-machine collaboration. His key research areas include visual servoing, robot navigation, and the integration of human touch in digital fabrication processes. Sato's most influential contribution is his work on visual servoing from uncalibrated cameras for uncalibrated robots (2000, 9 citations), which revolutionized robotic navigation by eliminating the need for complex calibration procedures. He further extended this concept to mobile robots using uncalibrated stereo pointers (2002, 4 citations), enabling intuitive 3D spatial navigation without precise calibration. In a notable shift, Sato explored the role of human capabilities in architecture-scaled digital fabrication (2016, 5 citations), arguing that human intuition and flexibility can complement robotic precision in construction processes. His work on extracting group transformations from image moments (1999, 7 citations) also contributed to computer vision. Sato's research has been instrumental in making robotic systems more accessible and adaptable, while his later work challenges conventional notions of automation by advocating for human-robot collaboration in fabrication.