Li Yang, Schreiber Sanjay, Yang Haochen, Liu Muchun, Little Joshua M, Cao Wanqing, Luo Yaguang, Bao Yinyin, Shih Chih-Jen, Bai Hedan, Chen Po-Yen
Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, Maryland 20742, United States.
Department of Materials, ETH Zurich, 8093 Zurich, Switzerland.
Chem Rev. 2025 Aug 19. doi: 10.1021/acs.chemrev.4c00972.
Soft robots, with their exceptional compliance, adaptability, and ability to safely interact with delicate objects, are redefining human-machine interfaces and expanding robotic capabilities into environments inaccessible to rigid systems. However, creating intelligent, multifunctional soft robots demands navigating a complex, multiscale design landscape, ranging from molecular-level building blocks through multifunctional soft robotic materials to fully integrated systems. In this review, we present a structured roadmap that addresses key challenges at three critical scales. At the molecular level and nanoscale, we examine an extensive library of soft matter and functional nanomaterials that impart tunable mechanical, electrical, optical, and stimuli-responsive properties to soft robotic materials. At the microscale, we highlight effective assembly strategies, such as heterogeneous blending, bilayer integration, and additive manufacturing, enabling reconfigurable, multifunctional materials that combine rapid response, robust functionality, large deformation tolerance, and fatigue resistance. Finally, at the system level, we explore how integrating actuation mechanisms, sensing technologies, and computational tools with these advanced materials can yield intelligent, adaptive, and energy-efficient soft robotic systems. By bridging these multiscale gaps and fostering interdisciplinary collaborations, this review provides near-, mid-, and long-term perspectives to guide future research, ultimately driving the development of transformative soft robots that elevate human-machine interactions.
软体机器人凭借其卓越的柔顺性、适应性以及与易碎物体安全交互的能力,正在重新定义人机界面,并将机器人的能力扩展到刚性系统无法进入的环境中。然而,制造智能、多功能的软体机器人需要在一个复杂的多尺度设计领域中进行探索,这个领域涵盖了从分子级构建模块到多功能软体机器人材料,再到完全集成系统。在这篇综述中,我们提出了一个结构化路线图,以应对三个关键尺度上的关键挑战。在分子水平和纳米尺度上,我们研究了大量的软物质和功能纳米材料库,这些材料赋予了软体机器人材料可调节的机械、电气、光学和刺激响应特性。在微观尺度上,我们强调了有效的组装策略,如异质混合、双层集成和增材制造,这些策略能够实现可重构的多功能材料,这些材料结合了快速响应、强大的功能、大变形耐受性和抗疲劳性。最后,在系统层面,我们探讨了如何将驱动机制、传感技术和计算工具与这些先进材料相结合,从而产生智能、自适应和节能的软体机器人系统。通过弥合这些多尺度差距并促进跨学科合作,本综述提供了短期、中期和长期的观点来指导未来的研究,最终推动变革性软体机器人的发展,提升人机交互水平。