Zhai Miaomiao

Xi’an University of Posts and Telecommunications

Papers

Total Citations

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About

Zhai Miaomiao is a robotics researcher whose work focuses on intelligent motion planning and autonomous manipulation for industrial applications. Her primary research areas include obstacle avoidance path planning, manipulator trajectory optimization, and the development of efficient algorithms for robotic systems operating in complex environments. She is best known for her significant contribution to improving the Rapidly-exploring Random Tree (RRT) algorithm, specifically tailored for 6-degree-of-freedom manipulators. In her highly cited 2023 paper, "Obstacle Avoidance Path Planning for a 6-DOF Manipulator Based on Improved RRT Algorithm," Zhai addresses critical challenges in factory automation, particularly the automatic handover of parts during assembly. Her work tackles the fundamental issues of strong path search randomness, low success rates, and poor trajectory smoothness that plague traditional RRT methods. By proposing innovative modifications to the algorithm, she has enhanced both the reliability and efficiency of manipulator motion planning. Though early in her career, her research has already garnered attention from the robotics community, with her most influential work accumulating citations that underscore its practical relevance. Zhai's contributions are paving the way for more robust and seamless robotic integration in manufacturing environments.