Xiaowei Feng

Linköping University, Shanghai University

Papers

Total Citations

H-Index

About

Xiaowei Feng is a robotics researcher whose work spans robot design, trajectory planning, and autonomous navigation. Feng’s key contributions include the development of generic automated multi-function finger design, which streamlines the creation of robot grippers capable of handling diverse workpieces—a significant advancement for industrial automation. This work, cited 10 times, addresses the long-standing challenge of manual, iterative design processes in robotics. Feng also contributed to LSPB trajectory planning for modular robot arms, enabling smoother and more efficient motion for household service robots, and developed a natural landmark extraction method using 2D laser rangefinders and unscented Kalman filters for robust mobile robot localization. These innovations, with citations ranging from 3 to 10, demonstrate Feng’s impact on practical robotics applications. Notably, Feng’s research on natural landmark extraction and tracking provides a foundation for reliable autonomous navigation in unstructured environments, a critical area for service and industrial robots. Through these works, Feng has advanced the fields of robot manipulation, motion planning, and perception, offering valuable tools for both academic research and real-world deployment.