Papers
1
Total Citations
4
H-Index
1
About
Shiqing Li is a robotics researcher whose work focuses on intelligent trajectory planning and autonomous navigation for unmanned systems. In their most notable contribution, Li developed the Bridge Algorithm—a novel trajectory planning approach inspired by the Bug2 algorithm—designed for omnidirectional robots operating in obstacle-dense environments. Unlike conventional methods that may introduce randomness or inefficiency, the Bridge Algorithm systematically identifies feasible, deterministic paths, mimicking the human process of finding the shortest route around obstacles. This work, published in 2019 and garnering 4 citations, addresses a fundamental challenge in mobile robotics: balancing path optimality with computational reliability. Li’s research holds practical significance for applications in warehouse automation, search-and-rescue missions, and autonomous exploration, where predictable and efficient navigation is critical. By advancing deterministic pathfinding in complex settings, Shiqing Li contributes to the broader goal of making autonomous robots more dependable and human-like in their decision-making—a key step toward seamless human-robot collaboration in real-world environments.
Research Focus
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Top Papers
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