This study addresses the critical need to enhance safety measures and accident prevention for railway workers while improving the overall work environment within the railway industry. Recognizing the challenges posed by railway work environments, characterized by heavy equipment and tasks involving the transportation of substantial loads, the objective is to develop a cutting-edge transport robot capable of autonomously carrying heavy loads and collaborating with railway workers. The transport robot is designed to follow railway workers autonomously, ensuring seamless collaboration while prioritizing safety. Equipped with sensors for real-time object detection, it automatically halts when workers or obstacles are detected within close proximity, enhancing worker safety. Developed on the ROS 2 platform for seamless integration of hardware and software, and utilizing the YOLOv5 model for precise object detection, the transport robot is poised to establish a secure and efficient work environment for railway workers. Through the implementation of these technologies, this study aims to revolutionize railway operations, enhancing convenience, efficiency, and safety for all involved stakeholders. Top of Form
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