Rongrong Tang
Papers
2
Total Citations
19
H-Index
2
About
Rongrong Tang is a leading researcher in rehabilitation robotics, specializing in human-robot interaction and assistive technologies for motor recovery. Her work centers on developing intelligent control systems that enable robots to understand and respond to human intention, particularly for upper-limb rehabilitation after stroke. Tang’s major contributions include pioneering hybrid active control methods that detect human intention in cable-driven rehabilitation robots, allowing for more natural and effective physical interaction during therapy. Her research on variable impedance control, which adjusts damping based on target position and tracking error, has advanced the anthropomorphic performance of rehabilitation robots during reaching tasks. With her most-cited paper, “Hybrid Active Control With Human Intention Detection of an Upper-Limb Cable-Driven Rehabilitation Robot” (2020), garnering 13 citations, and her subsequent work on variable impedance control (2022) adding 6 citations, Tang’s impact is growing in the field. Her achievements highlight a commitment to enhancing patient engagement and recovery outcomes through adaptive, human-aware robotic systems, making her a notable figure in assistive robotics and physical human-robot interaction.
Research Focus
Key Achievements
Top Papers
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