Chang Li

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Chang Li is a researcher in mobile robotics, with a focus on autonomous navigation and coverage path planning. His most-cited work, "Mobile robot multi-resolution full coverage path planning algorithm" (2018, 6 citations), addresses a critical challenge in robotics: balancing high-precision positioning with efficient area coverage. Li’s key contribution lies in developing a multi-resolution grid-based approach that allows mobile robots to dynamically adjust grid resolution—using high resolution for precise localization via SLAM and lower resolution for efficient path planning. This innovation reduces computational overhead while maintaining coverage completeness, making it particularly valuable for applications like cleaning robots, agricultural drones, and inspection systems. Though his citation count is modest, Li’s work is notable for tackling the inherent trade-off between accuracy and efficiency in real-world robotic tasks. His algorithm offers a practical solution for robots operating in large, unstructured environments, where both detailed mapping and rapid coverage are essential. Li’s research continues to influence the design of autonomous systems that must adapt to varying operational demands.