用开源工具搭建低成本远程机器人教学平台，支持真实场景实训
Scalable and low-cost remote lab platforms: Teaching industrial robotics using open-source tools and understanding its social implications
- 基于ROS/ROS2构建远程控制平台，对接UR5机械臂与自研移动机器人
- 7个月运行中服务超2700名学生，远程操控累计达515小时
- 适合高校工业机器人教学，也适用于关注技术普及的社会研究
随着工业机器人技术的发展，培养学生掌握新技术并为未来做好准备至关重要。然而，教学中获取工业机器人面临成本高、操作安全风险大及培训材料复杂等挑战。本文提出两个基于开源工具（如机器人操作系统ROS及其最新版ROS 2）的低成本远程实验平台，帮助学生在远程连接的工业机器人上学习和测试算法。部署于温室和仓库的真实场景中，分别构成自主农业收获系统（AAHS）和自主仓储管理系统（AWMS），使用通用机器人（UR5）机械臂与定制移动底盘。两个平台运行7个月，共服务1433名和1312名学生。在3个月内，学生远程操控系统分别达160小时和355小时。
原文摘要 · Abstract (English)
With recent advancements in industrial robots, educating students in new technologies and preparing them for the future is imperative. However, access to industrial robots for teaching poses challenges, such as the high cost of acquiring these robots, the safety of the operator and the robot, and complicated training material. This paper proposes two low-cost platforms built using open-source tools like Robot Operating System (ROS) and its latest version ROS 2 to help students learn and test algorithms on remotely connected industrial robots. Universal Robotics (UR5) arm and a custom mobile rover were deployed in different life-size testbeds, a greenhouse, and a warehouse to create an Autonomous Agricultural Harvester System (AAHS) and an Autonomous Warehouse Management System (AWMS). These platforms were deployed for a period of 7 months and were tested for their efficacy with 1,433 and 1,312 students, respectively. The hardware used in AAHS and AWMS was controlled remotely for 160 and 355 hours, respectively, by students over a period of 3 months.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。