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软机器人的运动行为研究进展
引用本文:王丽媛,王贺贺,任林,袁玲,高庆宇.软机器人的运动行为研究进展[J].化学通报,2022,85(5):539-546.
作者姓名:王丽媛  王贺贺  任林  袁玲  高庆宇
作者单位:中国矿业大学化工学院、江苏省徐州,中国矿业大学化工学院、江苏省徐州,温州大学化学与材料工程学院新材料与产业技术研究院,中国矿业大学化工学院、江苏省徐州,中国矿业大学化工学院、江苏省徐州
基金项目:(No. 21773304, No. 21972165)资助
摘    要:软机器人的出现不仅弥补了传统机器人的缺点,并逐渐成为机器人领域的热点和前沿之一,近年来该领域研究进展十分迅速。本文总结了典型软机器人的运动行为的研究进展,介绍了软机器人按材质类型的分类(包括液晶软机器人、生物分子软机器人、PDMS软机器人、液体软机器人和自振荡凝胶软机器人)及其功能和潜在应用,讨论了当前不同类别软机器人运动的特点和存在的问题,在此基础上展望了软机器人领域面临的机遇、挑战和未来发展方向。

关 键 词:软机器人  运动  驱动力  自适应
收稿时间:2021/8/10 0:00:00
修稿时间:2021/9/29 0:00:00

Progress in Motion Behavior of Soft-Robot
Liyuan Wang,Hehe Wang,Lin Ren,Ling Yuan and Qingyu Gao.Progress in Motion Behavior of Soft-Robot[J].Chemistry,2022,85(5):539-546.
Authors:Liyuan Wang  Hehe Wang  Lin Ren  Ling Yuan and Qingyu Gao
Institution:College of chemical engineering,China University of mining and technology,Xuzhou,College of chemical engineering,China University of mining and technology,Xuzhou,College of chemistry and materials engineering,Institute of new materials and industrial technologies,Wenzhou university,Wenzhou,College of chemical engineering,China University of mining and technology,Xuzhou,College of chemical engineering,China University of mining and technology,Xuzhou
Abstract:The emergence of soft robot not only makes up for the shortcomings of traditional hard robot, but also gradually becomes one of the hot spots and frontiers in the field of robot. In recent years, this research field has made rapid progress. In this review, the research progress about motion behavior of typical chemical soft robots is summarized, the classification such as liquid crystal elastomer soft-robots, biomolecular soft-robots, PDMS soft-robots, liquid soft-robots and self-oscillating gel soft-robots according to material structure, their functions and potential applications of chemical soft robots are introduced, and the characteristics and existing problems of different types of chemical soft robots are also discussed. On this basis, the opportunities, challenges and future development direction of soft robots are prospected.
Keywords:soft-robot    movement    driving force    self-adaption
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