Xinkai Xia
Papers
3
Total Citations
64
H-Index
3
About
Xinkai Xia is a robotics researcher focused on enhancing safety and autonomy in human-robot collaboration, particularly in medical and industrial settings. His work centers on two critical challenges: enabling robots to navigate complex environments autonomously and ensuring they can interact safely with humans. His most cited paper, "Path Planning for Obstacle Avoidance of Robot Arm Based on Improved Potential Field Method" (2023, 49 citations), addresses trajectory planning for collaborative robot arms in surgical scenarios, improving the classic artificial potential field algorithm for better real-time performance. Xia has also made significant contributions to physical safety through the development of flexible electronic skins and tactile sensors. His papers "Implementation of a Sponge-Based Flexible Electronic Skin for Safe Human–Robot Interaction" (2022, 9 citations) and "Development of the Flexible Tactile Sensor for Safe Human-Robot Interaction" (2022, 6 citations) introduce sensor systems designed to prevent accidents in collaborative workspaces. By integrating advanced path planning with innovative sensing technologies, Xia is pioneering safer, more intelligent robotic systems that can work alongside humans without compromising productivity or security.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3