Yingding Gao

Papers

Total Citations

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About

Yingding Gao is a researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation and path planning in complex, unknown environments. His most-cited work, "Research on the Path Planning Algorithm of Mobile Robot" (2021, 15 citations), addresses critical challenges such as local deadlock and path redundancy that arise when robots operate without prior environmental maps. Through systematic design and simulation comparisons of existing local path planning methods, Gao identifies key failure points in the planning process and proposes refinements to improve real-time decision-making and obstacle avoidance. His contributions are particularly relevant to the development of more reliable and efficient autonomous mobile robots for applications in logistics, exploration, and service robotics. While his citation count reflects an emerging career, his work demonstrates a strong commitment to solving practical, real-world navigation problems. Gao’s research serves as a valuable resource for students and engineers seeking to understand the limitations of current path planning algorithms and to develop more robust solutions for dynamic, unstructured settings.