Yeyu Chai

Papers

Total Citations

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About

Yeyu Chai is a robotics researcher specializing in mobile service robots and motion planning algorithms. Their most cited work, "Indoor Top Mobile Service Robot Based on Improved RRT Algorithm" (2022), introduces a novel robotic platform that combines a lifting truss with a manipulator to bypass complex ground-level navigation challenges. This design eliminates the need for traditional mapping, positioning, and obstacle avoidance on uneven surfaces, offering a streamlined solution for indoor service tasks. Chai’s contribution lies in enhancing the Rapidly-exploring Random Tree (RRT) algorithm to improve path efficiency and safety for overhead mobile robots. While still early in their career, with their top paper garnering 2 citations, the work demonstrates innovative thinking in human-robot interaction and automation. Chai’s research holds promise for applications in logistics, healthcare, and smart environments, where reliable indoor navigation is critical. Their focus on practical, cost-effective robotic systems marks them as an emerging voice in service robotics, with potential for significant future impact as the field grows.