Desheng Zhu

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Desheng Zhu is a robotics researcher whose work focuses on the critical challenge of autonomous navigation in extreme environments, particularly underground and subterranean settings. His primary contributions lie in the evaluation and development of motion planning algorithms for mobile robots operating in GPS-denied, low-visibility, and structurally complex spaces. Zhu’s most-cited paper, "Evaluation of Motion Planning Algorithms for Underground Mobile Robots" (2022), systematically benchmarks state-of-the-art planning methods—such as RRT*, A*, and DWA—against the unique constraints of mine tunnels and cave networks, providing a foundational resource for engineers designing search-and-rescue or mining automation systems. This work has garnered early recognition (4 citations) for its practical relevance to the growing field of subterranean robotics, where reliable navigation is a bottleneck. Zhu’s research bridges simulation and real-world deployment, offering insights into sensor fusion, obstacle avoidance, and computational efficiency under harsh conditions. His ongoing efforts aim to push the boundaries of autonomous exploration in environments where human access is dangerous or impossible, making his work vital for advancing robotics in disaster response, mining, and planetary exploration.