Yoshizo Hasegawa
Papers
2
Total Citations
32
H-Index
2
About
Yoshizo Hasegawa is a pioneering researcher in robotic manipulation and tactile sensing, whose work has significantly advanced the development of dexterous, sensor-rich robotic hands. His key research areas include multi-fingered hand control, distributed tactile sensing, and intelligent grasping algorithms. Hasegawa’s most notable contribution is the design and control of a five-fingered robotic hand with 22 degrees of freedom (16 in the fingers, 6 in the arm), which he integrated with a groundbreaking distributed touch sensor featuring over 500 measuring points. This system, detailed in his highly cited 2002 paper (20 citations), enables precise control of position, orientation, velocity, and force, setting a benchmark for biomimetic manipulation. Building on this, his 2006 work on grasping control using fuzzy neural networks (12 citations) introduced adaptive, learning-based approaches to improve grip stability and versatility. Hasegawa’s innovations have had a lasting impact on robotics, providing foundational technologies for prosthetics, industrial automation, and human-robot interaction. His achievements underscore a career dedicated to bridging sensory feedback and intelligent control, inspiring future research in tactile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grasping Control of Robot Hand Using Fuzzy Neural Network12 citations · 2006