一个多功能拓优化合规执行器,用于软机器人抓手和行走机器人
Tingke Wu1,2,3, Zhuyong Liu1,2,3, Boyang Wang1,2,3
1Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
Soft robotics
|October 11, 2023
概括
研究人员开发了一种多功能软执行器,使用拓优化为适应性机器人. 这种符合规则的机制既提供了刚性,又提供了灵活性,使先进的软抓柄和高效的行走机器人成为可能.
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
- 机械工程 机械工程
背景情况:
- 软机器人提供独特的交互能力,灵感来自生物学.
- 当前软执行器设计在预测机动和材料布局方面面临挑战,导致专业化,昂贵和不可互换的组件.
研究的目的:
- 通过开发一个多功能兼容执行器来解决当前软执行器的局限性.
- 为了在各种应用中提取通用软执行器设计的共同要求.
- 为软抓手和步行机器人提出一个协会设计策略.
主要方法:
- 在拓优化框架内开发了一个符合机制的数学模型.
- 使用拓优化来实现结构和材料的最佳分布.
- 一个关联式设计策略被提出并应用于软抓手和行走机器人.
主要成果:
- 与实证和半最佳设计相比,提出的多功能执行器在刚性和灵活性方面都表现出优势.
- 软抓手成功地进行了对各种大小,形状和质量的物体的自适应抓取,包括在水中的实验.
- 步行机器人实现了快速运动 (8.25秒内5次循环),精确的连续运动控制和快速方向变化 (0.45秒).
结论:
- 开发的拓优化和设计策略为创建多功能软执行器提供了一种新的方法.
- 拟议的方法可以创建可适应的软抓手和高效,敏捷的步行机器人.
- 这项研究为下一代软机器人系统的未来设计和开发提供了洞察力.
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