Haiwen Wu
Papers
2
Total Citations
9
H-Index
2
About
Dr. Haiwen Wu is a robotics researcher focused on advanced control strategies for robot manipulators, particularly in task-space tracking and regulation under real-world constraints. Their work addresses critical challenges in robotic systems, such as achieving precise motion control without direct velocity measurements and mitigating the effects of external disturbances. Dr. Wu’s most-cited paper, "Task-space tracking of robot manipulators via internal model principle approach" (2025, 7 citations), introduces a novel framework that leverages the internal model principle to enhance tracking accuracy and robustness. This contribution is complemented by their work on "Velocity-free task-space regulator for robot manipulators with external disturbances" (2025, 2 citations), which eliminates the need for velocity sensors—a significant practical advantage for cost-effective and reliable robotic systems. While early in their career, Dr. Wu’s research demonstrates a clear impact on the field of robot control, offering elegant solutions to fundamental problems in nonlinear dynamics and disturbance rejection. Their work is particularly relevant for applications in industrial automation, collaborative robotics, and autonomous systems, where precise and disturbance-resilient manipulation is essential.
Research Focus
Key Achievements
Top Papers
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- 2