Xiaolei Deng
Papers
1
Total Citations
3
H-Index
1
About
Xiaolei Deng is a researcher in robotics and manufacturing, with a focus on industrial robot path planning and workspace analysis. Their most-cited work introduces a novel workspace visualization method for multijoint industrial robots, inspired by the 3D-printing layering concept. This approach allows for a detailed, layer-by-layer mapping of a robot’s reachable space, providing critical constraint information for reliable control and efficient path planning. With 3 citations, this paper has contributed to improving the precision and safety of robotic operations in industrial settings. Deng’s work bridges computational geometry and practical automation, offering engineers a clearer understanding of robot capabilities before deployment. Their research is particularly valuable for applications requiring complex motion planning, such as automated assembly and material handling. By adapting additive manufacturing principles to robotics, Deng has demonstrated an innovative cross-disciplinary approach that enhances the usability of industrial robots.
Research Focus
Key Achievements
Top Papers
- 1