Yuqian He
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yuqian He is a robotics researcher whose work centers on adaptive control systems for robotic manipulators operating under real-world uncertainties. His primary research areas include nonlinear control theory, disturbance rejection, and trajectory tracking in task-space robotics. Dr. He’s most notable contribution is his 2024 paper, "An internal model based adaptive controller design for robot manipulator," which addresses a critical challenge in robotics: maintaining precise trajectory tracking when a manipulator is subject to both external disturbances and uncertain dynamic parameters. By integrating an internal model into the adaptive control framework, his approach enables the robot to effectively learn and compensate for unknown disturbances, ensuring robust performance without requiring exact system models. This work has already garnered attention within the control systems community, accumulating 2 citations shortly after publication and demonstrating its relevance to ongoing research in adaptive and robust control. Dr. He’s innovative synthesis of internal model principles with adaptive control offers a promising pathway for more resilient and autonomous robotic systems in manufacturing, surgery, and exploration.
Research Focus
Key Achievements
Top Papers
- 1An internal model based adaptive controller design for robot manipulator2 citations · 2024