Papers
1
Total Citations
40
H-Index
1
About
Longfei Li is a researcher specializing in robotics, collision detection algorithms, and geometric representation for manipulator systems. His most notable contribution is the development of a pseudo-distance algorithm for collision detection, which leverages convex-plane-polygons-based representation to enhance the safety and efficiency of robotic manipulators in complex environments. This work, published in 2020, has garnered 40 citations, reflecting its significance in advancing real-time collision avoidance and path planning for industrial and service robots. Li's research addresses critical challenges in robotic motion planning, offering robust solutions that balance computational speed with accuracy. His achievements include the creation of a novel geometric framework that simplifies the detection of potential collisions, enabling safer human-robot interactions and more reliable autonomous operations. By bridging theoretical geometry with practical robotics applications, Longfei Li continues to influence the development of intelligent manipulation systems, making his work essential reading for students and researchers focused on robotic safety, kinematics, and real-time control.
Research Focus
Key Achievements
Top Papers
- 1