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About

Rui Lin is a prolific robotics researcher whose work spans autonomous mobile robots, multi-robot systems, and intelligent logistics automation. Over more than a decade of contributions, Lin has established himself as a leading figure in warehouse and industrial robotics, with particular expertise in autonomous pallet transportation, path planning, and robot perception. Lin's most celebrated work includes the development of an automated guided logistics robot capable of transporting loads up to 1,000 kg with full directional freedom (31 citations), and an innovative master-slave parallel mobile robot architecture for smart factory environments (19 citations). These contributions directly address real-world industrial automation challenges. His research into multi-robot systems has grown increasingly sophisticated, culminating in a distributed path planning framework leveraging multi-agent deep reinforcement learning (MRDWA-MADDPG, 21 citations) and dynamic node allocation strategies for navigating complex environments. Beyond logistics, Lin has made meaningful advances in vision-based SLAM, object tracking, and manipulator trajectory planning, demonstrating a broad command of core robotics disciplines. His floor-cleaning robot mopping module research (23 citations) further reflects his versatility. With a cumulative body of work exceeding 150 citations, Lin's research consistently bridges theoretical innovation with practical deployment in real-world autonomous systems.