Cong Pang

Papers

Total Citations

H-Index

About

Cong Pang is a robotics researcher whose work centers on environment perception and autonomous navigation, with a particular focus on enabling safe, collision-free motion for outdoor mobile robots. His most cited paper, "Adaptive Obstacle Detection for Mobile Robots in Urban Environments Using Downward-Looking 2D LiDAR" (2018, 28 citations), introduces an innovative method that leverages a single downward-looking LiDAR sensor to detect obstacles adaptively. By first extracting line segments from raw sensor data, Pang’s approach enhances the reliability of obstacle detection in complex urban settings, addressing a critical challenge in real-world autonomous navigation. This contribution is notable for its practical efficiency, reducing sensor costs while maintaining robust performance. Pang’s work has been recognized for its potential to advance mobile robotics in dynamic environments, and his research continues to influence the development of adaptive perception systems. With a growing citation record, he is establishing himself as a thoughtful contributor to the fields of robotic perception and autonomous systems.