Peiyang Li

Papers

Total Citations

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About

Peiyang Li is a researcher in robotics and autonomous systems, with a primary focus on motion planning and algorithm optimization. Their most cited work, "Robot Path Planning Based on Improved RRT Algorithm" (2021), introduces a refined version of the Rapidly-exploring Random Tree (RRT) method, addressing key limitations in efficiency and path quality for robotic navigation in complex environments. This contribution has garnered 3 citations, reflecting its relevance in the ongoing development of more adaptive and computationally efficient path-planning solutions. Li’s research is situated at the intersection of artificial intelligence and mechanical engineering, aiming to enhance the real-world applicability of autonomous robots. By improving foundational algorithms like RRT, their work supports advancements in fields such as warehouse logistics, autonomous vehicles, and search-and-rescue operations. While still early in their career, Li’s focus on algorithmic refinement demonstrates a commitment to solving practical challenges in robotics, laying groundwork for future innovations in intelligent motion control.