Weidi Chen

Shanghai Academy of Spaceflight Technology

Papers

Total Citations

H-Index

About

Weidi Chen is a robotics researcher whose work centers on the trajectory planning, motion control, and autonomous navigation of specialized robotic platforms. His key contributions lie in developing algorithms for high-speed industrial manipulators and rugged field robots. In his most cited work, Chen introduced a novel method for optimal trajectory planning of Delta robots using a three-parameter Lamé curve to smooth motion corners, combined with a 6th-order polynomial for asymmetrical acceleration profiles—a technique that enhances precision and reduces mechanical stress in pick-and-place operations. He has also advanced the field of field robotics, designing a hierarchical motion controller for a six-wheel-drive rocker-bogie patrol robot, enabling stable trajectory tracking and coordinated control over complex terrains. Further demonstrating his impact in autonomous navigation, Chen developed a localization and navigation system for large-scale outdoor patrol robots using 3D LiDAR, which records patrol points and environmental point clouds for reliable, GPS-denied operation. With over 14 cumulative citations across his most prominent papers, Chen’s work bridges industrial automation and autonomous field robotics, offering practical solutions for both high-speed manufacturing and outdoor inspection tasks.