Papers
3
Total Citations
53
H-Index
3
About
Qilin Wu is a robotics and control systems researcher whose work bridges intelligent rehabilitation engineering with advanced robust control theory. Wu's most significant contribution lies in the development of an intelligent upper limb rehabilitation training robot, a 2020 design that integrates artificial intelligence, information theory, control systems, and human-machine engineering to address the critical need for accessible rehabilitation equipment for individuals with disabilities. This landmark work has garnered 43 citations, reflecting its meaningful impact on the assistive technology and medical robotics community. Beyond rehabilitation robotics, Wu has made notable strides in robust control methodology. His 2022 work introduces a Nash game-oriented approach to optimal adaptive robust control for uncertain mechanical systems, offering a theoretically elegant framework for handling real-world unpredictability in mechanical environments. Complementing this, his 2023 research presents a deterministic robust control strategy with parameter optimization tailored for uncertain two-wheel driven mobile robots, demonstrating a consistent focus on practical, uncertainty-tolerant control solutions. Together, Wu's portfolio reveals a researcher dedicated to translating sophisticated control theory into tangible robotic applications, particularly those with direct humanitarian and engineering significance.
Research Focus
Key Achievements
Top Papers
- 1A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot43 citations · 2020
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