集成执行和传感:向智能软机器人发展
Shuai Zhou1, Yuanhang Li1, Qianqian Wang1
1Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Cyborg and bionic systems (Washington, D.C.)
|May 7, 2024
概括
这篇评论探讨了软机器人技术,重点是整合执行和传感以实现智能控制. 它调查了当前的方法,并提出了先进软机器人功能的未来研究方向.
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
- 控制系统 控制系统
背景情况:
- 软机器人在复杂的环境中提供了独特的优势,如医学和探索,因为它的可变性.
- 当前的研究往往孤立了驱动和传感,阻碍了软机器人的智能功能.
- 软机器人的有效控制在很大程度上依赖于执行和传感之间的协同相互作用.
研究的目的:
- 为软机器人技术中执行和传感策略提供全面的调查.
- 强调集成执行和传感对于智能软机器人设计的关键需求.
- 介绍执行感应集成的方法,并建议未来的研究途径.
主要方法:
- 调查基本和多式联运方式的执行策略.
- 审视自身感知和触觉感知以及它们的融合方面的进展.
- 集成方法的分类:传感器表面,内部和闭环系统.
主要成果:
- 确定了研究中的一个差距,重点是孤立的执行和传感.
- 介绍了在软机器人中集成执行和传感的三个关键方法.
- 突出了现有的挑战,并概述了未来的研究方向.
结论:
- 执行和传感的整合对于开发智能软机器人至关重要.
- 拟议的集成方法为推进软机器人能力提供了一个框架.
- 需要进一步的研究来克服挑战,并充分发挥集成软机器人的潜力.
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