Yuexiang Zhang
Papers
1
Total Citations
4
H-Index
1
About
Yuexiang Zhang is a researcher focused on advancing the safety and interactivity of collaborative robotics, with a particular emphasis on collision detection and reaction systems. Their most-cited work, "Research on Collision Detection and Collision Reaction of Collaborative Robots" (2021), addresses a critical challenge in human-robot collaboration: enabling robots to safely detect and respond to physical contact in shared workspaces. This contribution is foundational for developing robots that can work alongside humans without rigid safety barriers, enhancing both productivity and workplace safety. While Zhang’s citation impact is still growing—with their key paper accumulating 4 citations—the work represents an important step toward more intuitive and adaptive robotic systems. By focusing on real-time collision response mechanisms, Zhang’s research supports the broader goal of making collaborative robots safer and more practical for industrial and domestic applications. Their contributions are particularly relevant for students and engineers exploring the intersection of robotics, control systems, and human-robot interaction, offering a clear pathway for future innovations in safe automation.
Research Focus
Key Achievements
Top Papers
- 1