Xinglang Zhang
Papers
1
Total Citations
3
H-Index
1
About
Xinglang Zhang is a robotics researcher whose work focuses on enhancing the safety and stability of teleoperation systems, particularly for master-slave isomeric robots. His key research areas include workspace mapping, human-robot interaction, and control strategies for remote manipulation. Zhang’s major contribution is the development of a position-joint hybrid mapping method based on edge drifting, which addresses critical challenges in aligning dissimilar robotic workspaces while maintaining operational precision. This work, published in 2022, has already garnered 3 citations, signaling its relevance to advancing teleoperation safety. By proposing a method that mitigates workspace discrepancies, Zhang’s research has practical implications for applications ranging from hazardous environment exploration to surgical robotics. His approach stands out for its focus on real-time stability and intuitive control, making it a valuable reference for engineers and researchers developing next-generation teleoperation interfaces. As a rising figure in the field, Zhang’s work continues to influence the design of more reliable and efficient remote robotic systems.
Research Focus
Key Achievements
Top Papers
- 1