Jun Ishikawa
Papers
12
Total Citations
86
H-Index
5
About
Dr. Jun Ishikawa is a leading researcher in intelligent robotics and human-robot collaboration, with a career spanning over two decades. His primary research areas include vision-based robotic control, humanitarian demining technology, and adaptive impedance control for cooperative robots. Dr. Ishikawa’s most impactful early work, "Intelligent control of assembling robot using vision sensor" (22 citations), established foundational methods for integrating visual feedback into robotic assembly tasks. He made significant contributions to humanitarian technology through his work on ground-penetrating radar (GPR) systems mounted on robotic vehicles for landmine detection, a project funded by the Japan Science and Technology Agency that has garnered over 25 combined citations. More recently, Dr. Ishikawa has pioneered human-adaptive impedance control using recurrent neural networks (RNNs), with three key papers from 2020-2022 (totaling 24 citations) introducing novel methods for external force estimation and stability recovery during human-robot cooperation. His innovative approach to estimating human arm stiffness for operability improvement represents a notable achievement in making collaborative robots safer and more intuitive. Dr. Ishikawa’s work continues to influence the development of compliant, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Intelligent control of assembling robot using vision sensor22 citations · 2002
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