Papers
11
Total Citations
252
H-Index
6
About
Kazuhiko Sumi is a leading researcher in industrial robotics and computer vision, with a career dedicated to automating complex, real-world manufacturing tasks. His core research areas include 3D sensing, robot vision for bin picking, and the challenging automation of flexible goods like cables and connectors. Sumi’s most significant contribution is his work on fast graspability evaluation, where his 2014 paper on single-depth-map analysis for bin picking has garnered 151 citations, providing a foundational method for robots to efficiently grasp randomly placed objects. He has also pioneered systems for handling flexible cables with connectors, a notorious obstacle in electronics assembly, developing proprietary 3D range sensors and force control techniques that enable robots to align and insert these components. His earlier work on real-time robot vision, including a three-level broad-edge matching system (24 citations), and genetic labeling for depalletizing robots, showcases his long-standing impact on practical, high-speed visual perception. Sumi’s research directly bridges the gap between theoretical vision algorithms and deployable factory automation, making him a key figure in advancing the intelligence and capability of production robots.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Three-level broad-edge matching based real-time robot vision24 citations · 2002
- 4A robotic assembly system capable of handling flexible cables with connector11 citations · 2011
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- 7Global Localization from a Single Image in Known Indoor Environments6 citations · 2018
- 8Genetic labeling and its application to depalletizing robot vision5 citations · 2002
- 9Fast Obstacle Detection for Monocular Autonomous Mobile Robots5 citations · 2017
- 10Vision System for Depalletizing Robot Using Genetic Labeling5 citations · 1995