Toshiyuki ASAKURA
Papers
13
Total Citations
109
H-Index
6
About
Toshiyuki Asakura is a pioneering researcher in robotics and autonomous systems, whose work spans manipulator control, mobile robotics, and bio-inspired locomotion. His key contributions include developing GA-pattern matching for real-time visual servoing in manipulator control systems, and proposing inverse dynamics compensation methods for power-wheeled-steering mobile manipulators—foundational work that has garnered over 23 citations each. Asakura has also advanced constrained motion control for precision grinding tasks, addressing the critical interaction between robots and their working environments. His research extends to autonomous vehicle navigation, where he developed real-time corridor recognition algorithms robust to varying lighting conditions. Notably, Asakura has explored bio-inspired robotics through spider-robot walking behavior strategies, proposing cooperative 8-legged velocity control that adapts to environmental information. His work on evolutionary scene recognition and simultaneous position/orientation detection, along with dynamic systems approaches to embodiment and sociality, demonstrates a commitment to integrating ecological psychology with robotics. With a career marked by innovations in machining robots and driving mechanisms, Asakura’s research continues to influence intelligent robotic systems capable of operating in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 2Inverse Dynamics Compensation Method for PWS Mobile Manipulators.23 citations · 1997
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- 6Real-time Corridor Recognition for Autonomous Vehicle7 citations · 2001
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