Papers
2
Total Citations
22
H-Index
2
About
Haoran Tao is a researcher at the forefront of rehabilitation robotics, with a focused expertise in adaptive control systems and human-robot interaction. His work centers on developing intelligent assistive technologies for stroke patients and the elderly, particularly through the innovative use of impedance parameter prediction. Tao’s most significant contribution is his pioneering research on adaptive impedance control for upper limb rehabilitation robots, which allows these devices to dynamically adjust training parameters in real-time based on a patient’s individual needs and recovery progress. This breakthrough, detailed in his highly cited 2024 paper (20 citations), directly addresses the limitations of traditional rehabilitation robots that lack such adaptability. He has also advanced the field by developing methods to identify mechanical impedance parameters of human upper limbs using mechanical perturbation, laying critical groundwork for more responsive and effective robotic therapy. By merging control theory with practical rehabilitation needs, Tao is helping to create smarter, more personalized robotic systems that can significantly improve recovery outcomes for patients with hemiplegia.
Research Focus
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Top Papers
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