About

Yao Tu is a robotics and control systems researcher whose work spans rehabilitation robotics, exoskeleton design, and mobile robot systems. Best known for contributions to lower limb rehabilitation technology, Tu's most influential work introduces the Adaptive Sliding Mode Variable Admittance (ASMVA) control method, which actively engages patients in rehabilitation training rather than constraining them to fixed trajectories — a paper that has garnered 70 citations since 2020. Building on this foundation, Tu developed a crank-slider series elastic actuated knee exoskeleton enabling compliant human-robot interaction, cited 61 times, and earlier adaptive control strategies for managing man-machine interaction forces in rehabilitation settings. Beyond rehabilitation, Tu has demonstrated impressive breadth, designing a multijoint passive elastic spine exoskeleton for lifting assistance, amphibious and terrestrial spherical robots stabilized by flywheel mechanisms, and a high-voltage transmission line inspection robot. More recent work extends into agricultural robotics and advanced visual perception systems. With over 230 total citations and publications spanning 2018 to 2024, Tu's research consistently bridges mechanical innovation with intelligent control, making meaningful contributions to both assistive technology and versatile robotic platforms.

Research Focus

Key Achievements

8
H-Index
14
Papers
243
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An Adaptive Sliding Mode Variable Admittance Control Method for Lower Limb Rehabilitation Exoskeleton Robot
70 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Xi'an Jiaotong University, Ministry of Education of the People's Republic of China, Beijing Academy of Artificial Intelligence

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago