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Journal of ZheJiang University (Engineering Science)  2021, Vol. 55 Issue (2): 229-243    DOI: 10.3785/j.issn.1008-973X.2021.02.003
    
Research status of integrated intelligent soft robots
Tian-ze HAO(),Hua-ping XIAO*(),Shu-hai LIU,Chao ZHANG,Hao MA
College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing 102249, China
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Abstract  

Integrated intelligent soft robots were reviewed from the aspects of actuation, materials, manufacturing, modes of motion, sensing and control, and the complementary relationships between integrated intelligent soft robots, new flexible sensors and machine learning were discussed. The problems in actuation, modeling and control were also analyzed. Integrated intelligent soft robots can be divided into fluidic driven, intelligent material driven and chemical reaction driven according to different driving methods. The energy source determines the integration method and the movement ability of the soft robots, and the selection of driving methods is mostly based on bionic inspiration. Flexible sensors and machine learning, as reliable tools for soft robots to improve motion capabilities and optimize control methods, will promote integrated intelligent soft robots into practical application. As the future development direction of soft robot, integrated intelligent soft robots that realizes controllable and predictable autonomous motion capabilities imitating the flexible postures of animals have broad application prospects in field exploration.



Key wordssoft robotics      integration      actuation      bionics      smart structure     
Received: 16 October 2020      Published: 09 March 2021
CLC:  TH 122  
Fund:  国家自然科学基金资助项目(51605492,51575529);中国石油大学(北京)科学基金资助项目(2462020XKJS01)
Corresponding Authors: Hua-ping XIAO     E-mail: 2019310308@student.cup.edu.cn;hxiao@cup.edu.cn
Cite this article:

Tian-ze HAO,Hua-ping XIAO,Shu-hai LIU,Chao ZHANG,Hao MA. Research status of integrated intelligent soft robots. Journal of ZheJiang University (Engineering Science), 2021, 55(2): 229-243.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2021.02.003     OR     http://www.zjujournals.com/eng/Y2021/V55/I2/229


集成化智能软体机器人研究进展

从驱动方式、材料与制造、运动方式、传感与控制方面对集成化智能软体机器人进行综述,讨论集成化软体机器人与新型柔性传感器、机器学习之间相辅相成的关系,分析在驱动方式、建模与控制方面存在的问题. 根据驱动方式的不同,可以将集成化智能软体机器人分为流体驱动、智能材料驱动和化学反应驱动,能量来源决定软体机器人的集成方式和运动能力,而驱动方式的选用多是以仿生灵感为指导原则. 柔性传感器和机器学习作为软体机器人提高运动能力、优化控制方式的可靠工具,将推动智能软体机器人进入实际应用阶段. 实现可控和可预测自主运动能力的集成化智能软体机器人是软体机器人未来的发展方向,在运动方式上模仿动物的灵活姿态,在未知环境勘探领域有广阔应用前景.


关键词: 软体机器人,  集成化,  驱动方式,  仿生学,  智能结构 
Fig.1 Development history of soft robots
Fig.2 Fluid-driven soft robots
Fig.3 IPMC driven soft robots
Fig.4 Two kinds of chemical reaction driving principles
Fig.5 Materials applied on integrate intelligent soft robots
名称 材料 制造工艺 能量来源 运动方式
四足爬行机器人[23] 硅橡胶:Elastosil M4601,Ecoflex 0030 软光刻 微型气泵 海星:爬行
流体驱动仿生鱼[25] 硅橡胶:Mold Star 15 模具铸造法 微型液压泵 鱼:游动
仿生海星[28] 硅橡胶:Dragonskin 10;SMA 铸造法,3D打印 锂聚合物电池 海星:水下行走
仿生蛇[32] 硅橡胶 模具铸造法 微型气泵 蛇:爬行
六足行走机器人[33] 硅橡胶:Ecoflex 30 模具铸造法 微型气泵 行走
仿蛇爬行机器人[34] 硅橡胶:Ecoflex 0030 激光切割,模具铸造法 微型气泵 蛇:爬行
仿生青蛙[35] 硅橡胶:Ecoflex 0050;PDMS:Sylgard 184 模具铸造法,3D打印 高压CO2气瓶 青蛙:游动
仿生乌贼[36] 硅橡胶:Ecoflex 0030 模具铸造法,3D打印 高压CO2气瓶 乌贼:喷射前进
机械鳐鱼[43] SMA;聚氯乙烯 ? 锂聚合物电池 鳐:游动
仿生水蛇[44] SMA;聚氨酯 ? 锂聚合物电池 蛇:游动
IPMC驱动仿生鱼[45] IPMC ? 锂聚合物电池 鱼:游动
仿生蝠鲼[47] IPMC;PDMS 模具铸造法 锂聚合物电池 蝠鲼:游动
仿生魔鬼鱼[48] IPMC;PDMS 模具铸造法,3D打印 锂聚合物电池 魔鬼鱼:游动
滚动机器人[49] 硅橡胶:Ecoflex 0030 模具铸造法 过氧化氢电池 滚动
多次跳跃机器人[50] 类橡胶 3D打印 丁烷燃料电池 跳跃
Octopus[52] 硅橡胶:Ecoflex 30;PDMS:Sylgard 184 模具铸造法,软光刻,3D打印,激光切割 过氧化氢电池 章鱼:抬腿
仿生狮子鱼[53] 硅橡胶:Dragonskin 20;石墨 模具铸造法,3D打印 碘化锌电池液 鱼:游动
单次跳跃机器人[54] 硅橡胶:M4601 软光刻,3D打印 丁烷燃料电池 跳跃
机械鳗鱼[68] 硅橡胶:Ecoflex 0030,Dragon Skin 0010 软光刻,3D打印 齿轮泵 游动
SMA四足机器人[69] SMA、导热弹性体 ? 锂聚合物电池 跑动
介电弹性体驱动鳐鱼[70] PDMS:Sylgard 184;水凝胶 模具铸造法 介电弹性体 鳐:游动
仿生蚯蚓[71] SMA、聚醚醚酮树脂 ? 锂聚合物电池 蚯蚓:蠕动
DE驱动乌贼[72] 介电弹性体 ? 锂聚合物电池 乌贼:喷射前进
Tab.1 Material,production,energy source and movement posture of integrated intelligent soft robots
Fig.6 Casting process of bionic fish tail[25]
Fig.7 Manufacturing process of multilayer soft lithography[76]
Fig.8 Production process of Octopus[52]
Fig.9 Terrestrial bionic soft robots
Fig.10 Aquatic bionic soft robots
Fig.11 Control system based on traditional sensors
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