Papers
10
Total Citations
88
H-Index
5
About
Zheng Xie is a robotics researcher whose work centers on human-robot collaboration, dexterous manipulation, and assistive robotics. His major contributions include developing a human-robot dynamic fusion safety algorithm for collaborative operations of cobots (23 citations), which enhances safe physical interaction, and a hybrid trajectory replanning approach for dynamic obstacle avoidance in physical human-robot interaction (21 citations). Xie is also known for designing the DoraHand, a novel dexterous hand with tactile sensing finger modules (12 citations), offering an affordable and practical solution for research in dexterous manipulation. His work extends to grasp force adjustment for force sensor-less robots through fuzzy hardness inference (8 citations) and a weight-supporting wearable robot for walking assist (6 citations), demonstrating a commitment to both industrial and rehabilitation applications. With over 80 total citations across his top papers, Xie’s research integrates safety, sensing, and control in robotics, notably through innovations like the Y-type six-axis force/torque sensor and deep learning-based grasp prediction models. His achievements reflect a dedication to advancing collaborative and assistive robotic systems, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
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- 3DoraHand: a novel dexterous hand with tactile sensing finger module12 citations · 2022
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- 5A Weight-Supporting Wearable Robot for Walking Assist6 citations · 2015
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