Xuehe Zhang
Papers
25
Total Citations
331
H-Index
10
About
Xuehe Zhang is a leading researcher in the field of intelligent robotics, with a primary focus on human-robot collaboration, exoskeleton design, and robotic manipulation. His work bridges the gap between theoretical control systems and practical, real-world applications, particularly in manufacturing and medical robotics. Zhang’s most notable contribution is a novel weight-bearing lower limb exoskeleton that uses motion intention prediction and locomotion state identification to enhance flexibility and portability under heavy loads (48 citations). He has also made significant strides in robotic grasping, developing strategies for handling objects with uncertain information (47 citations), and in skill transfer, enabling robots to learn complex assembly tasks from human demonstrations. His research extends to high-precision calibration methods for robot-assisted surgery, including a physician-friendly tool center point calibration technique (29 citations), and to biomimetic systems, such as a force-sensing leg system for hexapod robots navigating unstructured terrain (24 citations). With over 250 total citations, Zhang’s work is widely recognized for its impact on advancing autonomous robotic systems, making him a key figure in the development of more adaptable, intelligent, and collaborative robots for industry and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6A Distortion Correction Method Based on Actual Camera Imaging Principles20 citations · 2024
- 7
- 8
- 9
- 10