Shigeto AOKI
Papers
3
Total Citations
21
H-Index
2
About
Shigeto Aoki is a robotics researcher whose work has made meaningful contributions to the precise and efficient control of industrial articulated robot arms. His research centers on trajectory generation, motion control optimization, and the practical challenges of operating robotic systems under real-world physical constraints — most notably torque saturation in joint actuators. Aoki's most influential contribution, cited 13 times, introduced an offline trajectory generation methodology that enables high-speed, precise point-to-point end-effector control while respecting joint torque limits — a critical concern in industrial automation where performance and hardware longevity must be balanced. Building on this foundation, his earlier work established theoretical upper limits for contour control performance under torque constraints, providing a valuable benchmark for industrial robot designers and control engineers. His research on minimum-time positioning control further addressed how trajectory modification strategies can overcome the performance degradation caused by torque saturation. Together, these contributions form a coherent body of work aimed at bridging the gap between theoretical optimal control and the practical realities of industrial robotics. Aoki's research is particularly relevant for engineers and students seeking to understand how physical hardware constraints fundamentally shape the achievable performance of robotic motion systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3