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机器人的新陈代谢:通过消耗其他机器来增长的机器
Philippe Martin Wyder1, Riyaan Bakhda2, Meiqi Zhao2
1Mechanical Engineering, Columbia University, 220 S. W. Mudd Building, 500 West 120th Street, New York, NY 10027, USA.
Science advances
|July 16, 2025
概括
机器人可以通过使用简单的模块来实现开放式的物理适应. 这允许机器通过消耗材料来生长和自我修复,为未来的机器人生态铺平了道路.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 材料科学 材料科学 材料科学
背景情况:
- 生物生命形式表现出自我愈合,生长和适应,这对生存至关重要.
- 目前的机器人是单一的,缺乏自我修复,物理发展或环境材料集成的能力.
- 人工智能 (AI) 在机器人行为方面的进步与机器人的物理静态身体形成鲜明对比.
研究的目的:
- 提出和演示能够进行开放式物理适应的机器人的设计原则.
- 通过整合环境材料,使机器人能够生长,治愈和发展.
- 探索机器新陈代谢的概念,以实现可持续的机器人生态.
主要方法:
- 设计机器人使用简单的,模块化组件的小目录.
- 实施一个系统,让机器人消耗和整合外部材料.
- 测试模块化机器人平台的生长,维修和能力增强.
主要成果:
- 展示了一个模块化机器人平台,能够进行物理适应.
- 展示了通过消耗环境和机器人间材料来变得更大和更快的机器人.
- 验证了模块化原理,使机械适应和材料集成成为可能.
结论:
- 机器人中的开放式物理适应可以通过模块化设计实现.
- 机器代谢,包括材料消耗和集成,是机器人生长和维修的关键.
- 这种方法是开发可持续和适应性未来机器人生态的基础.
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