Yayun Li

Papers

Total Citations

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About

Yayun Li is a researcher in robotics and automation, with a primary focus on motion planning and collision avoidance for serial manipulators. Their most notable contribution is the development of an Obstacle-free workspace (OFW) based path planning method, introduced in their 2017 paper, which has garnered 5 citations. This work integrates Monte Carlo methods and computer graphics to generate collision-free trajectories for multi-joint serial manipulators, specifically demonstrated on a 3R planar manipulator. By enabling efficient and safe movement in cluttered environments, Li’s approach addresses a fundamental challenge in industrial and service robotics: ensuring dexterous manipulation without physical interference. While their citation count reflects a niche but impactful contribution, the work is particularly valued for its practical applicability in real-world robotic systems. Li’s research bridges theoretical path planning algorithms with tangible engineering solutions, offering a foundation for further advancements in autonomous robotic motion. Their dedication to improving manipulator efficiency and safety marks them as a thoughtful contributor to the field of robotics.