Tangfei Tao
Papers
5
Total Citations
48
H-Index
4
About
Tangfei Tao is a leading researcher in rehabilitation robotics, with a focus on developing intelligent, human-centered robotic systems for stroke recovery and assistive applications. Their work spans soft robotic gloves for hand rehabilitation, upper limb exoskeletons, and humanoid robots capable of imitating human motion. Tao’s major contributions include the design of a 3D-printed pneumatic-driven soft robotic glove that leverages the patient’s healthy hand movements for training, and trajectory planning for upper limb rehabilitation robots using human pose estimation—both of which address the critical shortage of rehabilitation therapists. Their research on exoskeleton performance validation using joint range-of-motion signals has advanced robotic assistive surgery and neurorehabilitation. With over 48 total citations across their most-cited works, Tao’s impact is evident in the growing adoption of their methods for real-world clinical and robotic applications. Notably, their improved RRT algorithm for manipulator motion planning demonstrates versatility beyond rehabilitation, tackling industrial challenges like picking scattered objects. Tao’s work bridges robotics, computer vision, and biomechanics, offering scalable solutions for both medical and industrial domains.
Research Focus
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Top Papers
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