Papers
19
Total Citations
263
H-Index
9
About
Chunjing Tao is a robotics researcher whose work centers on assistive and rehabilitation robotics, with particular expertise in the design and control of systems intended to restore or enhance human mobility. His most influential contribution — a novel parallel robot for ankle rehabilitation (2020, 65 citations) — demonstrates his ability to translate clinical needs into sophisticated mechanical solutions, addressing the growing burden of stroke and cerebral palsy-related disabilities in aging populations. Tao has made sustained contributions to intelligent walking-aid robots, spanning more than a decade from early hardware development (2012) through advanced shared-control frameworks incorporating reinforcement learning (2015, 36 citations) and hierarchical intention recognition. His work on lower-limb exoskeletons and hip-assistive mechanisms reflects a deep commitment to human-robot compatibility, ensuring that physical interaction forces remain safe and natural for users. By integrating perception, compliance control, and adaptive algorithms, Tao's research bridges mechanical innovation with intelligent autonomy. His portfolio collectively demonstrates a coherent vision: empowering elderly and disabled individuals through robots that are not only structurally capable but genuinely responsive to human intent and behavior.
Research Focus
Key Achievements
Top Papers
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- 4Development of a width-changeable intelligent walking-aid robot22 citations · 2012
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- 6Intelligent mobile walking-aids: perception, control and safety20 citations · 2019
- 7Hierarchical Shared Control of Cane-Type Walking-Aid Robot11 citations · 2017
- 8Design and control of an intelligent walking-aid robot10 citations · 2014
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- 10Kinematics and performance analysis of a serial hip assistive mechanism8 citations · 2018