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The needs of companies worldwide grow and change, Unmanned Ground Vehicles (UGVs) can make scaling and adapting for demands much easier. UGVs are now widely used in industry for carrying and transporting goods, raw materials including metal, paper, plastics, in the various fields of industry, logistics, and distribution center with precision and efficiency. UGVs have abilities of autonomous planning and coordination via Robot Operating System (ROS). In this paper, a heavy load UGV with 1000 kg payload was designed and developed to transport the goods between areas in the factory, and generate the path planning. The UGV structure was investigated for stability, strength and rigidity and ROS slam algorithm was used to navigate the UGVs in the factory platform. The UGVs can be utilized for moving goods from warehouse to the production line and vise versa. The experiment results showed that, the UGV worked well with ROS SLAM (Simultaneous Localization and Mapping) algorithm which can avoid obstacles in real time to reach the target station. It can replace manual labor to achieve automatic transportation and handling of goods. The results provide valuable experience for further research in the future.

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Design of a Heavy Load Unmanned Ground Vehicle for Carrying in Industry via ROS SLAM Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Huy-Tien Bui,
  • Minh-Sang Tran,
  • Huu-Toan Duong,
  • Van-Thang Nguyen

摘要

The needs of companies worldwide grow and change, Unmanned Ground Vehicles (UGVs) can make scaling and adapting for demands much easier. UGVs are now widely used in industry for carrying and transporting goods, raw materials including metal, paper, plastics, in the various fields of industry, logistics, and distribution center with precision and efficiency. UGVs have abilities of autonomous planning and coordination via Robot Operating System (ROS). In this paper, a heavy load UGV with 1000 kg payload was designed and developed to transport the goods between areas in the factory, and generate the path planning. The UGV structure was investigated for stability, strength and rigidity and ROS slam algorithm was used to navigate the UGVs in the factory platform. The UGVs can be utilized for moving goods from warehouse to the production line and vise versa. The experiment results showed that, the UGV worked well with ROS SLAM (Simultaneous Localization and Mapping) algorithm which can avoid obstacles in real time to reach the target station. It can replace manual labor to achieve automatic transportation and handling of goods. The results provide valuable experience for further research in the future.