Designing a Human-Robot Collaboration System to reduce Work Fatigue in Redistributing Dockless Sharing Bikes

Abstract: Dockless bike-sharing systems in China have enhanced user convenience but face challenges like vandalism and improper parking. Despite advancements in bike collection technologies, manual labor remains essential in the redistribution process, often leading to worker fatigue and safety concerns. This study explores solutions to reduce work-related fatigue for bike collectors using a human-robot collaboration (HRC) system. In our proposed system, workers assess bike conditions and position them for a robotic arm to handle lifting and placement. The system aims to minimize physical strain and improve worker experience. We conducted simulations with healthy adults to test the system's effectiveness. Physical fatigue was measured through heart rate monitoring, and mental fatigue was assessed using the Multidimensional Fatigue Inventory. Participants were divided into two groups: one with nominal technological assistance and one without. Professional bike distributors evaluated the system's performance by observing task recordings and completing structured surveys. Our findings show that the HRC system significantly reduces physical and mental fatigue among participants. The system's potential to enhance bike redistribution efficiency and improve worker safety is promising. Future work will focus on integrating advanced robotics, intelligent software, and smart scheduling for real-world deployment and broader logistics applications.

Keywords: Dockless Bike-sharing, Fatigue, Human-Robot Collaboration, Human-in-the-loop

DOI: 10.54941/ahfe1005644

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