Papers
5
Total Citations
18
H-Index
3
About
Jun Goto is a Japanese robotics and computer vision researcher whose work spans intelligent automation, 3D sensing, and human-robot interaction. His most significant contributions lie in the development of robotic systems for hazardous electrical distribution work, particularly advancing fully automated live-line maintenance robots for Kyushu Electric that employ real-time visual feedback control in unstructured outdoor environments — work that garnered his highest citation count of seven. Goto has made foundational contributions to 3D range-finding technology, developing a high-speed binocular camera system as early as 1994 that addressed the then-critical gap in low-cost, real-time depth imaging. His subsequent research refined robot vision techniques capable of handling challenging outdoor lighting and complex backgrounds, integrating gray-scale and range imagery to enable reliable object detection for field deployment. More recently, Goto extended his expertise into social robotics, investigating motion planning frameworks that synchronize robot movement with natural utterance timing using Self-Organizing Maps, reflecting a broadening vision of human-robot collaboration. While his citation counts remain modest, his sustained focus on practically deployable robotics — bridging laboratory techniques with real-world infrastructure and social applications — marks him as a dedicated applied researcher bridging engineering and human-centered design.
Research Focus
Key Achievements
Top Papers
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- 2Development of High-Speed 3-D Range Finder Using Binocular Cameras.4 citations · 1994
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