Yijing Li

Papers

Total Citations

H-Index

About

Yijing Li is a robotics researcher whose work centers on motion planning and autonomous navigation in dynamic environments. Her most impactful contribution is the development of a real-time RRT-based path planning strategy for non-holonomic robots, published in 2021. This work introduces a two-stage approach—combining a pre-processing RRT path planner with a real-time replanning module—that enables robots to safely avoid unknown, time-varying obstacles. The strategy has garnered 9 citations, reflecting its practical relevance for autonomous systems operating in unpredictable settings. Li’s research addresses critical challenges in robotic mobility, bridging sampling-based algorithms with real-time adaptability. Her approach is particularly valuable for applications in autonomous vehicles, service robots, and industrial automation, where dynamic obstacle avoidance is essential. By enhancing the efficiency and safety of path planning under uncertainty, Yijing Li has made a notable contribution to the field of intelligent robotics, offering a scalable solution for real-world navigation problems.