Papers
35
Total Citations
472
H-Index
12
About
Yoshihiro Nakabo is a pioneering researcher in high-speed sensory-motor fusion, human-robot collaboration, and biomimetic soft robotics. His most influential work, "Digital Twin-Driven Human Robot Collaboration Using a Digital Human" (92 citations), advances safe and ergonomic manufacturing by integrating digital twin technology with human-robot interaction. Nakabo’s early breakthroughs include the development of a 1-ms sensory-motor fusion system (54 citations), which achieved unprecedented real-time robotic manipulation using massively parallel active vision and a multifingered hand-arm. He also introduced the visual impedance control scheme (36 citations), enabling task-level dynamical robot control through high-speed visual feedback. In soft robotics, Nakabo contributed to kinematic modeling of multi-DOF robot manipulators with patterned artificial muscle (56 citations) and biomimetic soft robots using IPMC actuators (26 citations). His work on hazard analysis of industrial upper-body humanoids (22 citations) addresses critical safety concerns for collaborative robots. With over 350 total citations across his top ten papers, Nakabo’s research spans from fundamental control theory to practical industrial applications, making him a key figure in the evolution of high-speed vision-based robot control and human-safe automation.
Research Focus
Key Achievements
Top Papers
- 1Digital Twin-Driven Human Robot Collaboration Using a Digital Human92 citations · 2021
- 2
- 31-ms sensory-motor fusion system54 citations · 2000
- 4Visual impedance using 1 ms visual feedback system36 citations · 2002
- 5Biomimetic Soft Robots Using IPMC26 citations · 2007
- 6Hazard analysis of an industrial upper‐body humanoid22 citations · 2009
- 73D tracking using two high-speed vision systems18 citations · 2003
- 8Visual Impedance Using lms Visual Feedback System18 citations · 1998
- 9Biomimetic soft robots with artificial muscles14 citations · 2004
- 101ms Target Tracking System Using Massively Parallel Processing Vision.13 citations · 1997