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HASEL Artificial Muscles for a New Generation of Lifelike Robots—Recent Progress and Future Opportunities

机器人 执行机构 计算机科学 仿生学 机器人学 适应性 人工智能 软机器人 复制 人机交互 灵活性(工程) 系统工程 控制工程 纳米技术 工程类 材料科学 生物 统计 数学 生态学
作者
Philipp Rothemund,Nicholas Kellaris,Shane K. Mitchell,Eric Acome,Christoph Keplinger
出处
期刊:Advanced Materials [Wiley]
卷期号:33 (19) 被引量:79
标识
DOI:10.1002/adma.202003375
摘要

Abstract Future robots and intelligent systems will autonomously navigate in unstructured environments and closely collaborate with humans; integrated with our bodies and minds, they will allow us to surpass our physical limitations. Traditional robots are mostly built from rigid, metallic components and electromagnetic motors, which make them heavy, expensive, unsafe near people, and ill‐suited for unpredictable environments. By contrast, biological organisms make extensive use of soft materials and radically outperform robots in terms of dexterity, agility, and adaptability. Particularly, natural muscle—a masterpiece of evolution—has long inspired researchers to create “artificial muscles” in an attempt to replicate its versatility, seamless integration with sensing, and ability to self‐heal. To date, natural muscle remains unmatched in all‐round performance, but rapid advancements in soft robotics have brought viable alternatives closer than ever. Herein, the recent development of hydraulically amplified self‐healing electrostatic (HASEL) actuators, a new class of high‐performance, self‐sensing artificial muscles that couple electrostatic and hydraulic forces to achieve diverse modes of actuation, is discussed; current designs match or exceed natural muscle in many metrics. Research on materials, designs, fabrication, modeling, and control systems for HASEL actuators is detailed. In each area, research opportunities are identified, which together lays out a roadmap for actuators with drastically improved performance. With their unique versatility and wide potential for further improvement, HASEL actuators are poised to play an important role in a paradigm shift that fundamentally challenges the current limitations of robotic hardware toward future intelligent systems that replicate the vast capabilities of biological organisms.

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