Shangzhe Li

Institute of Software, Beihang University

Papers

Total Citations

H-Index

About

Shangzhe Li's research focuses on advancing autonomous mobile robot navigation, particularly in complex, real-world environments. His primary contributions lie in path planning, where he addresses the critical challenge of integrating semantic information into robotic decision-making. Li's most cited work, "A multi-strategy path planner based on space accessibility" (2017), introduces a novel approach that leverages spatial semantics to improve navigation efficiency and safety, moving beyond traditional geometric methods. His subsequent study, "Evaluation on path planning with a view towards application" (2017), provides a systematic experimental framework for assessing path planning algorithms under diverse real-world scenarios, offering valuable benchmarks for the field. While his citation counts (3 and 2 respectively) reflect a focused, emerging impact, Li's work is notable for its practical orientation—bridging the gap between theoretical path planning and deployment in unstructured environments. His emphasis on space accessibility and multi-strategy planning demonstrates a commitment to creating more adaptive, context-aware robots, making his research a foundational step for students and engineers working on autonomous systems in challenging settings.