Masafumi Uchida
Papers
7
Total Citations
46
H-Index
4
About
Masafumi Uchida’s research career spans three decades of pioneering work in bio-inspired robotics and intelligent control systems. His early contributions focused on using myoelectric potential (EMG) signals to control robotic hands and arms, addressing the challenge of adapting to varying physical and mental conditions—work that laid groundwork in human-machine interfaces. His 1992 paper on fuzzy-theory-based robot hand control and 1993 work on myoelectric arm control remain foundational, together accumulating over 27 citations. In recent years, Uchida has shifted toward soft robotics, developing innovative balloon-based robots that mimic aquatic locomotion. He has modeled caudal fin propulsion for fish-type balloon robots and studied pectoral-fin movement in relation to fin shape, using force indices to optimize design. His 2021 control system for balloon robots using time-state control form and 2023 comparative fin-shape study represent ongoing contributions to this niche field, with papers accumulating 13 citations since 2016. Uchida also explored autonomous reconfiguration via Q-learning and obstacle avoidance using potential field methods, demonstrating versatility across control theory, machine learning, and biomimetics. His work, though modest in citation volume, reflects sustained innovation at the intersection of biology, control, and robotics.
Research Focus
Key Achievements
Top Papers
- 1The Control Method for the Robot Hand Based on the Fuzzy Theory15 citations · 1992
- 2Control of a Robot Arm by Myoelectric Potential12 citations · 1993
- 3Propulsion modeling of caudal fin driving system on balloon fish robot6 citations · 2016
- 4Control System Using Time‐State Control Form for Balloon Robot4 citations · 2021
- 5
- 6Autonomous reconfiguration of robot shape by using Q-learning3 citations · 2009
- 7Development of Autonomous Mobile Robot for Obstacle Avoidance3 citations · 1993