Li Peng

Huazhong University of Science and Technology

Papers

Total Citations

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About

Li Peng's research focuses on intelligent robotics, specifically addressing the critical challenge of autonomous navigation in unknown and dynamic environments. His work centers on developing novel path planning and mapping algorithms that enable mobile robots to operate safely and efficiently without prior environmental knowledge. A key contribution is his pioneering application of Dezert-Smarandache Theory (DSmT) for information fusion, which robustly handles high-conflict and uncertain sensor data—a common problem in real-world robotics. His most cited paper (19 citations) introduces a hybrid method that treats a single robot as a multi-agent system, combining cooperative control with DSmT-based grid mapping to produce smooth, collision-free paths. This work, along with his development of the Evidence Reasoning Machine (ERM) for mapping, has laid important groundwork for robust robot perception and decision-making under uncertainty. Peng's research directly addresses the gap between theoretical planning algorithms and practical deployment in unpredictable settings, making his contributions valuable for advancing autonomous systems in applications like search-and-rescue, exploration, and service robotics.