Takahisa Yamamoto
Papers
1
Total Citations
12
H-Index
1
About
Takahisa Yamamoto is a pioneering researcher in human-robot collaboration, with a focused expertise in error recovery and maintainability within shared workspaces. His most cited work, "Human Error Recovery by a Maintainable Human/Robot Parts Conveyance System" (2003), addresses a critical challenge in industrial automation: how to detect and correct human errors during collaborative tasks where robots assist human operators with physical power. Yamamoto’s key contribution lies in applying maintainability concepts—traditionally reserved for machine systems—to human actions, enabling real-time error detection and recovery in human-robot parts conveyance. This approach enhances safety and efficiency in manufacturing environments. With over 12 citations, his research has influenced subsequent studies on adaptive automation and error-tolerant systems. Yamamoto’s work is notable for bridging human factors engineering and robotics, offering practical solutions for human-robot coexistence. His insights remain relevant for researchers designing intuitive, fail-safe collaborative robots, particularly in assembly lines and logistics. By prioritizing human error recovery, Yamamoto has helped shape a more resilient and user-centered approach to industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Human Error Recovery by a Maintainable Human/Robot Parts Conveyance System12 citations · 2003