通过拓优化对机车软机器人的计算合成
Hiroki Kobayashi1, Farzad Gholami2, S Macrae Montgomery2
1Toyota Central R&D Labs., Inc., Bunkyo-ku, Tokyo 112-0004, Japan.
Science advances
|July 24, 2024
概括
本研究介绍了一种高效的方法来设计机车软机器人 (SoRos),使用拓优化和多物理模拟. 这种方法自动创建可适应的,生物灵感的机器人形状,可以在没有人类干预的情况下移动.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 材料科学 材料科学 材料科学
- 计算工程 计算工程 计算工程
背景情况:
- 机车软机器人 (SoRos) 提供了适应性,但传统设计需要人类干预.
- 进化机器人 (EA) 显示出自动设计的前景,但面临着高计算成本的多物理.
- 设计复杂的SoRo机动需要高效的,自动化的方法.
研究的目的:
- 为气动机车机器人软机器人开发一个高效的,自动化的设计策略.
- 将基于梯度的拓优化与多物理材料点方法 (MPM) 模拟相结合.
- 通过纯粹的数学过程来证明生物灵感的运动结构的生成.
主要方法:
- 利用基于梯度的拓优化与多物理材料点方法 (MPM) 模拟相结合.
- 启动了一个简单的立方形状的设计过程,其中有一个中心腔.
- 代优化软机器人拓,以实现所需的机车功能.
主要成果:
- 成功设计了两个气动SoRos,一个用于走路,一个用于登.
- 3D打印机器人展示了与模拟预测相匹配的运动能力.
- 自动化设计过程产生了类似于生物生物体的四肢结构.
结论:
- 介绍了机车机械软机器人的自动化设计的有效策略.
- 展示了将拓优化与复杂机器人设计的多物理模拟集成在一起的潜力.
- 突出显示,数学过程可以自主生成复杂的,生物灵感的机器人形态.
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