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      Glowing Sucker Octopus ( Stauroteuthis syrtensis)‐Inspired Soft Robotic Gripper for Underwater Self‐Adaptive Grasping and Sensing

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          Abstract

          A soft gripper inspired by the glowing sucker octopus ( Stauroteuthis syrtensis)’ highly evolved grasping capability enabled by the umbrella‐shaped dorsal and ventral membrane between each arm is presented here, comprising of a 3D‐printed linkage mechanism used to actuate a modular mold silicone‐casting soft suction disc to deform. The soft gripper grasp can lift objects using the suction generated by the pump in the soft disc. Moreover, the protruded funnel‐shaped end of the deformed suctorial mouth can adapt to smooth and rough surfaces. Furthermore, when the gripper contacts the submerged target objects in a turbid environment, local suctorial mouth arrays on the suction disc are locked, causing the variable flow inside them, which can be detected as a tactile perception signal to the target objects instead of visual perception. Aided by the 3D‐printed linkage mechanism, the soft gripper can grasp objects of different shapes and dimensions, including flat objects, objects beyond the grasping range, irregular objects, scattered objects, and a moving turtle. The results report the soft gripper's versatility and demonstrate the vast application potentials of self‐adaptive grasping and sensing in various environments, including but are not limited to underwater, which is always a key challenge of grasping technology.

          Abstract

          A soft gripper inspired by the glowing sucker octopus’ enhanced grasping capability enabled by the umbrella‐shaped dorsal and ventral membrane between each arm is elaborated here. The gripper features excellent abilities to suck and grasp objects with any shapes (planar and nonplanar) and dimensions. Furthermore, the gripper could generate tactile sensation for turbid water environment exploration.

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          Most cited references4

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          Springer handbook of robotics

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            2012 IEEE International Conference on Robotics and Automation (ICRA)

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              IEEE Int. Conf. Rob. Autom.

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                Author and article information

                Contributors
                zhengxingwen@pku.edu.cn
                xiegming@pku.edu.cn
                Journal
                Adv Sci (Weinh)
                Adv Sci (Weinh)
                10.1002/(ISSN)2198-3844
                ADVS
                Advanced Science
                John Wiley and Sons Inc. (Hoboken )
                2198-3844
                07 April 2022
                June 2022
                : 9
                : 17 ( doiID: 10.1002/advs.v9.17 )
                : 2104382
                Affiliations
                [ 1 ] State Key Laboratory for Turbulence and Complex Systems College of Engineering Intelligent Biomimetic Design Lab Peking University Beijing 100871 P. R. China
                [ 2 ] Advanced Production Engineering, Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Groningen 9747AG The Netherlands
                [ 3 ] Department of Bioengineering Imperial College London South Kensington London SW7 2AZ UK
                [ 4 ] School of Aeronautics and Astronautics Sun Yat‐Sen University Guangzhou 510006 P. R. China
                [ 5 ] Peng Cheng Laboratory Shenzhen 518055 China
                [ 6 ] Institute of Ocean Research Peking University Beijing 100871 China
                [ 7 ] Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Guangzhou 511458 P. R. China
                Author notes
                Author information
                https://orcid.org/0000-0003-4993-1896
                Article
                ADVS3683
                10.1002/advs.202104382
                9189663
                35388640
                5ebe8265-39e6-4d87-b5f6-f2ea897609e9
                © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 February 2022
                : 02 October 2021
                Page count
                Figures: 9, Tables: 1, Pages: 11, Words: 7185
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 61973007
                Funded by: Beijing Natural Science Foundation , doi 10.13039/501100004826;
                Award ID: 4192026
                Funded by: Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) , doi 10.13039/501100019651;
                Award ID: K19313901
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 13, 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:13.06.2022

                bioinspiration,glowing sucker octopus,self‐adaptive grasping,soft gripper

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