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Hou N, Wu M, Zhao Q, Tang Z, Wang K, Xu X, Zheng X, Xie G. Reticular Origami Soft Robotic Gripper for Shape-Adaptive and Bistable Rapid Grasping. Soft Robot 2024; 11:550-560. [PMID: 39178400 DOI: 10.1089/soro.2023.0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2024] Open
Abstract
The top-down approach in designing and fabricating origami robots could achieve far more complicated functions with compliant and elegant designs than traditional robots. This study presents the design, fabrication, and testing of a reticular origami soft robotic gripper that could adapt to the shape of the grasping subject and grasp the subject within 80 ms from the trigger instance. A sensing mechanism consisting of the resistive pressure sensor array and flexible elongation sensor is designed to validate further the shape-adaptive grasping capability and model the rough shape and size of the subject. The grasping test on various objects with different shapes, surface textures, sizes, and living animals further validates the excellent grasping capabilities of the gripper. The gripper could be either actively triggered by actuation or passively triggered by a minimum of 0.0014 J disturbance energy. Such features make it particularly suitable for applications such as capturing underwater creatures and illegal drone control.
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Affiliation(s)
- Ningzhe Hou
- State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, China
- Oxford Robotics Institute, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Mingxin Wu
- State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, China
| | - Qin Zhao
- State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, China
| | - Zhenhua Tang
- College of Aerospace Engineering, Chongqing University, Chongqing, China
| | - Kaiwei Wang
- State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, China
| | - Xiaoxian Xu
- Department of Engineering, University of Cambridge, Cambridge, United Kingdom
| | - Xingwen Zheng
- Department of Mechanical Engineering, The University of Tokyo, Tokyo, Japan
| | - Guangming Xie
- State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, China
- Institute of Ocean Research, Peking University, Beijing, China
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Shan Y, Zhao Y, Wang H, Dong L, Pei C, Jin Z, Sun Y, Liu T. Variable stiffness soft robotic gripper: design, development, and prospects. BIOINSPIRATION & BIOMIMETICS 2023; 19:011001. [PMID: 37948756 DOI: 10.1088/1748-3190/ad0b8c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/10/2023] [Indexed: 11/12/2023]
Abstract
The advent of variable stiffness soft robotic grippers furnishes a conduit for exploration and manipulation within uncharted, non-structured environments. The paper provides a comprehensive review of the necessary technologies for the configuration design of soft robotic grippers with variable stiffness, serving as a reference for innovative gripper design. The design of variable stiffness soft robotic grippers typically encompasses the design of soft robotic grippers and variable stiffness modules. To adapt to unfamiliar environments and grasp unknown objects, a categorization and discussion have been undertaken based on the contact and motion manifestations between the gripper and the things across various dimensions: points contact, lines contact, surfaces contact, and full-bodies contact, elucidating the advantages and characteristics of each gripping type. Furthermore, when designing soft robotic grippers, we must consider the effectiveness of object grasping methods but also the applicability of the actuation in the target environment. The actuation is the propelling force behind the gripping motion, holding utmost significance in shaping the structure of the gripper. Given the challenge of matching the actuation of robotic grippers with the target scenario, we reviewed the actuation of soft robotic grippers. We analyzed the strengths and limitations of various soft actuation, providing insights into the actuation design for soft robotic grippers. As a crucial technique for variable stiffness soft robotic grippers, variable stiffness technology can effectively address issues such as poor load-bearing capacity and instability caused by the softness of materials. Through a retrospective analysis of variable stiffness theory, we comprehensively introduce the development of variable stiffness theory in soft robotic grippers and showcase the application of variable stiffness grasping technology through specific case studies. Finally, we discuss the future prospects of variable stiffness grasping robots from several perspectives of applications and technologies.
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Affiliation(s)
- Yu Shan
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Yanzhi Zhao
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Haobo Wang
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Liming Dong
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Changlei Pei
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Zhaopeng Jin
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Yue Sun
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
| | - Tao Liu
- Key Laboratory of Parallel Robot and Mechatronic System, Yanshan University, Qinhuangdao, Hebei Province, People's Republic of China
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