Trolley Collection
Autonomous trolley collection systems, primarily focused on airport luggage retrieval, aim to improve efficiency and reduce labor costs by using robots to locate, grasp, and transport multiple trolleys. Current research emphasizes robust object detection and localization, even under partial occlusion, often employing hierarchical perception systems and keypoint-based methods, alongside advanced control algorithms like those incorporating Control Lyapunov and Barrier Functions to handle dynamic environments and disturbances. These advancements are significant for improving the reliability and efficiency of robotic systems in complex, real-world scenarios, impacting both robotics research and the practical operation of automated service systems.
Papers
Indoor Exploration and Simultaneous Trolley Collection Through Task-Oriented Environment Partitioning
Junjie Gao, Peijia Xie, Xuheng Gao, Zhirui Sun, Jiankun Wang, Max Q. -H. Meng
Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports
Zhirui Sun, Boshu Lei, Peijia Xie, Fugang Liu, Junjie Gao, Ying Zhang, Jiankun Wang