arXiv:2409.14721cs.RO2024-09中稿 · Humanoids2024, web…被引 9

用电商零件+钣金焊接,低成本造出能跑崎岖地形的金属四足机器人。

MEVIUS: A Quadruped Robot Easily Constructed through E-Commerce with Sheet Metal Welding and Machining

  • 仅用电商采购的钣金和标准件,通过焊接与机加工组装
  • 采用强化学习与Sim2Real,实现在复杂地形稳定行走
  • 适合想自主搭建耐用机器人、做实地实验的研究者

个人研究者自建四足机器人对研究扩展至关重要,因其具备高可扩展性和可定制性。这类机器人需可通过电商或自制方式轻松订购与组装,组件数量少以利维护,且须具备在多变环境中耐久运行的能力。目前多数由研究机构构建的四足机器人体积小、使用3D打印塑料件,难以承受山地、废墟等外部环境实验,剧烈运动下易损坏。虽可自行打印零件,但组件繁多导致更换与维护困难。为此,本文开发了金属四足机器人MEVIUS,仅通过电商采购材料即可完成构造与组装。设计聚焦于最少必要组件,仅使用金属机加工、钣金焊接及现成部件,并实现简洁电路与软件配置。考虑到简单结构带来的通信延迟,实验验证了MEVIUS在强化学习与Sim2Real方法支持下,可穿越多样粗糙地形并适应户外实验。所有软硬件资源均开源于https://github.com/haraduka/mevius。

原文摘要 · Abstract (English)

Quadruped robots that individual researchers can build by themselves are crucial for expanding the scope of research due to their high scalability and customizability. These robots must be easily ordered and assembled through e-commerce or DIY methods, have a low number of components for easy maintenance, and possess durability to withstand experiments in diverse environments. Various quadruped robots have been developed so far, but most robots that can be built by research institutions are relatively small and made of plastic using 3D printers. These robots cannot withstand experiments in external environments such as mountain trails or rubble, and they will easily break with intense movements. Although there is the advantage of being able to print parts by yourself, the large number of components makes replacing broken parts and maintenance very cumbersome. Therefore, in this study, we develop a metal quadruped robot MEVIUS, that can be constructed and assembled using only materials ordered through e-commerce. We have considered the minimum set of components required for a quadruped robot, employing metal machining, sheet metal welding, and off-the-shelf components only. Also, we have achieved a simple circuit and software configuration. Considering the communication delay due to its simple configuration, we experimentally demonstrate that MEVIUS, utilizing reinforcement learning and Sim2Real, can traverse diverse rough terrains and withstand outside experiments. All hardware and software components can be obtained from https://github.com/haraduka/mevius.

四足机器人金属制造强化学习开源硬件

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