Liu Baiyan

Wuhan University of Science and Technology

Papers

Total Citations

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About

Liu Baiyan is a robotics researcher whose work focuses on the motion planning, navigation, and cooperative control of omni-directional mobile manipulators (ODMMs) and multi-robot systems. Their key contributions include developing an improved genetic algorithm for redundant robot motion planning, which addresses the complex challenge of optimizing the movement of omni-directional platforms with manipulators. Liu also proposed an obstacle avoidance fuzzy navigation strategy that integrates ultrasonic absolute positioning, significantly enhancing navigation efficiency and precision compared to conventional methods. In the domain of multi-robot systems, Liu introduced a novel cooperation method for double omni-directional mobile robots, combining absolute positioning with force feedback and master-slave coordination to improve local transport efficiency. While their citation counts (5, 2, and 2) reflect a specialized niche, Liu’s work represents foundational steps in advancing autonomous mobile manipulation and cooperative robotics—areas critical for applications in manufacturing, logistics, and service robotics. Their research contributes to the broader goal of enabling robots to navigate and collaborate in dynamic, unstructured environments.