Soft Manipulator for Soft Robotic Applications: a Review
Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation...
Ausführliche Beschreibung
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| Autor*in: |
Sut, Dhruba Jyoti [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Journal of intelligent and robotic systems - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988, 108(2023), 1 vom: Mai |
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| Übergeordnetes Werk: |
volume:108 ; year:2023 ; number:1 ; month:05 |
| Links: |
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| DOI / URN: |
10.1007/s10846-023-01877-4 |
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| Katalog-ID: |
SPR051690624 |
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| 520 | |a Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. | ||
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10.1007/s10846-023-01877-4 doi (DE-627)SPR051690624 (SPR)s10846-023-01877-4-e DE-627 ger DE-627 rakwb eng Sut, Dhruba Jyoti verfasserin aut Soft Manipulator for Soft Robotic Applications: a Review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. Soft robotics (dpeaa)DE-He213 Gripper (dpeaa)DE-He213 Manipulator (dpeaa)DE-He213 Bio inspiration (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Sethuramalingam, Prabhu aut Enthalten in Journal of intelligent and robotic systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988 108(2023), 1 vom: Mai (DE-627)271181133 (DE-600)1479543-7 1573-0409 nnns volume:108 year:2023 number:1 month:05 https://dx.doi.org/10.1007/s10846-023-01877-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 108 2023 1 05 |
| spelling |
10.1007/s10846-023-01877-4 doi (DE-627)SPR051690624 (SPR)s10846-023-01877-4-e DE-627 ger DE-627 rakwb eng Sut, Dhruba Jyoti verfasserin aut Soft Manipulator for Soft Robotic Applications: a Review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. Soft robotics (dpeaa)DE-He213 Gripper (dpeaa)DE-He213 Manipulator (dpeaa)DE-He213 Bio inspiration (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Sethuramalingam, Prabhu aut Enthalten in Journal of intelligent and robotic systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988 108(2023), 1 vom: Mai (DE-627)271181133 (DE-600)1479543-7 1573-0409 nnns volume:108 year:2023 number:1 month:05 https://dx.doi.org/10.1007/s10846-023-01877-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 108 2023 1 05 |
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10.1007/s10846-023-01877-4 doi (DE-627)SPR051690624 (SPR)s10846-023-01877-4-e DE-627 ger DE-627 rakwb eng Sut, Dhruba Jyoti verfasserin aut Soft Manipulator for Soft Robotic Applications: a Review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. Soft robotics (dpeaa)DE-He213 Gripper (dpeaa)DE-He213 Manipulator (dpeaa)DE-He213 Bio inspiration (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Sethuramalingam, Prabhu aut Enthalten in Journal of intelligent and robotic systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988 108(2023), 1 vom: Mai (DE-627)271181133 (DE-600)1479543-7 1573-0409 nnns volume:108 year:2023 number:1 month:05 https://dx.doi.org/10.1007/s10846-023-01877-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 108 2023 1 05 |
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10.1007/s10846-023-01877-4 doi (DE-627)SPR051690624 (SPR)s10846-023-01877-4-e DE-627 ger DE-627 rakwb eng Sut, Dhruba Jyoti verfasserin aut Soft Manipulator for Soft Robotic Applications: a Review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. Soft robotics (dpeaa)DE-He213 Gripper (dpeaa)DE-He213 Manipulator (dpeaa)DE-He213 Bio inspiration (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Sethuramalingam, Prabhu aut Enthalten in Journal of intelligent and robotic systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988 108(2023), 1 vom: Mai (DE-627)271181133 (DE-600)1479543-7 1573-0409 nnns volume:108 year:2023 number:1 month:05 https://dx.doi.org/10.1007/s10846-023-01877-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 108 2023 1 05 |
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10.1007/s10846-023-01877-4 doi (DE-627)SPR051690624 (SPR)s10846-023-01877-4-e DE-627 ger DE-627 rakwb eng Sut, Dhruba Jyoti verfasserin aut Soft Manipulator for Soft Robotic Applications: a Review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. Soft robotics (dpeaa)DE-He213 Gripper (dpeaa)DE-He213 Manipulator (dpeaa)DE-He213 Bio inspiration (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Sethuramalingam, Prabhu aut Enthalten in Journal of intelligent and robotic systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988 108(2023), 1 vom: Mai (DE-627)271181133 (DE-600)1479543-7 1573-0409 nnns volume:108 year:2023 number:1 month:05 https://dx.doi.org/10.1007/s10846-023-01877-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 108 2023 1 05 |
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soft manipulator for soft robotic applications: a review |
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Soft Manipulator for Soft Robotic Applications: a Review |
| abstract |
Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract In the growing field of study known as “soft robotics,“ highly adaptable robots are built for soft interactions by utilizing the acquiescence, and flexibility of soft structures. The substantial advancement of soft grippers may be attributed to the growth of soft robotics, the investigation of various materials, and the creation of flexible electronics. The field of soft robotics does have the potential to have a substantial influence, among other applications, on the field of soft grippers and manipulators. Grippers of various varieties are necessary for handling various types of items, both hard and soft. It is crucial to adopt flexible and adaptive gripping tactics to get more item holding flexibility. Soft-robotic grasping systems that are extremely flexible in terms of workpiece shape, size, and structure are an ideal choice for increasing production flexibility. The major reason for the review is to learn about the existing soft gripper and the repeatability of existing soft-robotic grippers with large payload capacities. This article offers a thorough analysis of soft gripper recommendations, covering machine learning techniques along with physical theories, sensor technologies, actuation strategies, and device topologies. The potential effects of a soft robot manipulator for industry and the social economy are discussed as this essay comes to a close. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Soft Manipulator for Soft Robotic Applications: a Review |
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Sethuramalingam, Prabhu |
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10.1007/s10846-023-01877-4 |
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