Made available for a limited time for personal research and study only License. Figure 1. A paradigm for robotic materials design. (a) Inspired by design approaches in materials science and engineering, robotic materials couple robotic behaviors in self-contained material systems through considerations of material processing-structure-properties-function relationships. (b) Opportunities for robotic innovations via robotic materials are illustrated through relevant processing methods for target robotic functions in emerging applications. For actuation, direct and indirect methods refer to actuation strategies that do or do not require an energy conversion step, respectively. Ryan Truby is an Assistant Professor of Materials Science and Engineering and Mechanical Engineering at Northwestern University. He directs the Robotic Matter Lab, an interdisciplinary research group interested in advancing machine intelligence through material design. Ryan conducted his postdoctoral studies at MIT’s Computer Science and Artificial Intelligence Lab on the design, fabrication, and control of soft sensorized robots. He received his Ph.D. in Applied Physics from Harvard University’s John A. Paulson School of Engineering and Applied Sciences and his B.S. in Biomedical Engineering from The University of Texas at Austin. In addition to soft robotics and 3D printing, his research also includes work in bioprinted vascularized tissue constructs, soft electronics, artificial muscles, and architected materials. Ryan’s work at the materials-robotics interface has been supported by an NSF Graduate Research Fellowship and a Schmidt Science Fellowship, and he has received awards in both fields, including the Gold Award for Graduate Students from the Materials Research Society and the Outstanding Paper Award at the 2019 IEEE International Conference of Soft Robotics. R.L.T. thanks Dr. J. T. Muth for their valuable feedback and input. This article references 22 other publications.

中文翻译：

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将软机器人设计为机器人材料

限时提供个人研究和学习许可。图 1. 机器人材料设计的范例。(a) 受材料科学和工程设计方法的启发，机器人材料通过考虑材料加工-结构-性能-功能关系将机器人行为耦合在自包含材料系统中。(b) 通过机器人材料进行机器人创新的机会通过新兴应用中目标机器人功能的相关处理方法来说明。对于驱动，直接和间接方法分别是指需要或不需要能量转换步骤的驱动策略。瑞安·特鲁比西北大学材料科学与工程与机械工程系助理教授。他领导机器人物质实验室，这是一个跨学科研究小组，对通过材料设计推进机器智能感兴趣。Ryan 在麻省理工学院计算机科学和人工智能实验室从事软传感器机器人的设计、制造和控制方面的博士后研究。他获得了博士学位。他拥有哈佛大学约翰·A·保尔森工程与应用科学学院的应用物理学学士学位，以及德克萨斯大学奥斯汀分校的生物医学工程学士学位。除了软机器人和 3D 打印外，他的研究还包括生物打印血管化组织结构、软电子、人造肌肉和建筑材料方面的工作。Ryan 在材料-机器人接口方面的工作得到了 NSF 研究生研究奖学金和施密特科学奖学金的支持，他在这两个领域都获得了奖项，包括材料研究学会研究生金奖和杰出论文奖2019 IEEE 国际软机器人会议。RLT 感谢 JT Muth 博士的宝贵反馈和意见。本文引用了 22 篇其他出版物。