Xuan-Bach Hoang
Papers
1
Total Citations
11
H-Index
1
About
Xuan-Bach Hoang is a robotics researcher whose work centers on the intersection of dynamic modeling, computer vision, and parallel robot control. His most-cited paper introduces a novel collision detection system for the HEXA parallel robot, combining a dynamic model with a multi-dual depth camera setup. This work addresses critical challenges in human-robot interaction by proposing a three-stage framework—collision detection, isolation, and identification—that enables safer, more responsive robotic operation. With 11 citations, this paper has become a foundational reference for researchers working on real-time obstacle avoidance in high-speed parallel manipulators. Hoang’s contributions are particularly notable for bridging theoretical dynamic modeling with practical sensor integration, offering a robust solution to a longstanding problem in industrial robotics. His research holds significant implications for manufacturing automation, where precise and safe robot motion is paramount. By advancing methods for collision-aware control, Hoang is helping to pave the way for more intelligent and autonomous robotic systems that can operate alongside humans without compromising safety or efficiency.
Research Focus
Key Achievements
Top Papers
- 1