Yuandi Qian

Papers

Total Citations

105

H-Index

About

Yuandi Qian has made influential contributions to the field of mobile robotics, with a primary focus on intelligent path planning and autonomous navigation. His most cited work, a 2022 paper on an improved A* algorithm integrated with the Dynamic Window Approach, has garnered over 105 citations, reflecting its significant impact on real-world robotic motion. Qian’s research addresses critical limitations in traditional path planning—such as excessive turning points, redundant nodes, and computational inefficiency—by developing adaptive algorithms that balance optimal route generation with dynamic obstacle avoidance. His innovations enable robots to navigate complex, changing environments more smoothly and efficiently, bridging the gap between theoretical optimization and practical deployment. Beyond this landmark study, Qian’s broader work continues to advance the integration of heuristic search methods with real-time control, making his research essential reading for students and engineers working on autonomous systems, service robotics, and intelligent transportation. His contributions stand out for their clear problem-driven approach and measurable improvements in both path quality and runtime performance.