设计和感知软章鱼灵感抓手的框架,以实现人工智能
Seunghoon Choi1, Junwon Jang2, Junho Lee2
1Department SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Republic of Korea.
Biomimetics (Basel, Switzerland)
|December 24, 2025
概括
灵感来自章鱼的软抓手利用可逆吸和连续运动进行可适应的操纵. 最近的进展整合了复杂的传感,人工智能控制和神经形态计算,用于启用感知的机器人平台.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物启发工程 生物启发工程
- 人工智能的人工智能
背景情况:
- 软机器人比刚性系统在合规性和适应性方面具有优势.
- 由于其独特的能力,章鱼可以作为开发先进软抓手的生物模型.
- 现有的软抓手往往缺乏头足动物所看到的集成感应和智能控制.
研究的目的:
- 为了回顾最近的进步在章鱼灵感软抓手.
- 在结构,传感,控制和AI应用维度上分析这些抓器.
- 突出向感知启用和计算意识的机器人平台的进展.
主要方法:
- 对结构设计的审查,包括吸管,触角式执行器和混合配置.
- 对各种传感模块 (光学, triboelectric,离子,基于变形) 的检查,以增强感知.
- 对控制策略和人工智能驱动应用程序的分析,包括神经形态方法.
主要成果:
- 集成先进的材料和传感技术,以提高抓手的功能.
- 开发复杂的控制框架,用于精确的吸入和抓取调整.
- 人工智能辅助和神经形态计算的出现,用于适应性,节能决策.
结论:
- 灵感来自章鱼的软抓手正在从简单的机械设计演变为智能机器人系统.
- 结构,传感,控制和计算的整合是它们进步的关键.
- 未来的平台将是感知启用和计算意识,模仿头足动物的适应性.
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