Papers
9
Total Citations
43
H-Index
4
About
Xuelin Wang is a robotics and automation researcher whose work spans robotic gripping systems, exoskeleton design, autonomous perception, and emerging soft robotics technologies. Wang's most significant contributions lie in the development of advanced force control strategies for robotic grippers, particularly for handling deformable objects without causing damage. Pioneering work on dual-motor electric grippers with parallel fingers and integrated force sensors has helped bridge the gap between industrial robot dexterity and real-world manipulation demands, with key papers in this area accumulating up to nine citations. Wang further advanced the field through grey prediction model-based force control and impedance control algorithms, enabling robots to anticipate and regulate contact forces more intelligently. Beyond grippers, Wang has explored LiDAR-based target recognition for depalletizing applications, underwater robot attitude stabilization, and wearable upper-limb exoskeleton design — demonstrating a broad commitment to applied robotics across diverse environments. Most recently, Wang has turned attention to soft robotics for gastrointestinal medical applications, reflecting an exciting expansion into healthcare technology. Collectively, Wang's body of work represents a consistent drive to enhance robot-environment interaction across industrial, rehabilitative, and medical domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Active gripping impedance force control with dual fingers hand8 citations · 2011
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- 6Parallel gripping explicit force control of robot hand with dual fingers3 citations · 2011
- 7Advances of soft robotics for gastrointestinal tract applications2 citations · 2025
- 8Master-slave force control based on grey GM(1,1) model of robot gripper2 citations · 2015
- 9