机器人
机器人学
领域(数学)
转化式学习
软机器人
计算机科学
任务(项目管理)
系统工程
工程类
风险分析(工程)
软系统方法论
国家(计算机科学)
管理科学
新兴技术
人机交互
软质材料
控制工程
人工智能
作者
Xinzhou Wang,Kaiwen Zheng,Jiabiao Li,H Wang,Rencheng Zheng,Jianbin Liu
出处
期刊:Robotica
[Cambridge University Press]
日期:2025-10-01
卷期号:43 (10): 3801-3844
被引量:1
标识
DOI:10.1017/s0263574725102609
摘要
Abstract Soft robots have emerged as a transformative technology with widespread applications across diverse fields. Among various actuation mechanisms, fluid-based actuation remains predominant in soft robotics, where precise fluid regulation is fundamental to system performance. This review aims to provide a comprehensive reference for researchers interested in fluid regulation strategies in soft robots by outlining the current state of research in this field and discussing innovations in valve designs to inspire future advancements. The fluid regulation strategies discussed in this review are systematically categorized into three main approaches: valve-based, smart fluid-based, and pressure source-based strategies, with each type systematically classified and discussed in detail. Building upon this analysis, a Task-to-Fluidic Regulation System mapping framework is proposed, integrating the V-model principles from systems engineering to provide a structured, requirements-driven methodology that links task objectives to concrete regulation system configurations through sequential design and multi-level verification. Finally, the latest advancements in fluid regulation methods in soft robotics are summarized, along with emerging trends and directions for future development.
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