Caixia Zhang
Papers
1
Total Citations
18
H-Index
1
About
Caixia Zhang is a researcher in industrial robotics and manufacturing automation, with a focus on workspace analysis and human-robot safety. Her most cited work, "Minimal distance calculation between the industrial robot and its workspace based on circle/polygon-slices representation" (2020), introduces a computationally efficient method for real-time collision avoidance by modeling robot links and obstacles as simplified geometric slices. This contribution addresses a critical challenge in collaborative robotics—ensuring safe proximity between machines and human operators—and has garnered 18 citations, reflecting its practical relevance in the field. Zhang’s approach enables faster distance calculations than traditional bounding-volume hierarchies, making it suitable for dynamic environments. Beyond this paper, her research spans robot kinematics, path planning, and workspace optimization, often integrating geometric algorithms with industrial constraints. Her work is particularly notable for bridging theoretical geometry and applied safety standards, offering tangible solutions for reducing workplace accidents. As automation expands into small and medium enterprises, Zhang’s methods provide accessible tools for safer human-robot interaction. She continues to contribute to the development of intelligent manufacturing systems, with her research cited by peers exploring real-time monitoring and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1