Perspectives on Intelligence in Soft Robotics
Engineers frequently aim to streamline environmental factors to facilitate the effective operation of robots. However, in nature, environmental considerations play a crucial role in shaping the embodiment of organisms. To comply robots with the complexity of real‐world environments, embedding simila...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400294 |
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| _version_ | 1832592609083654144 |
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| author | Vera Gesina Kortman Barbara Mazzolai Aimeé Sakes Jovana Jovanova |
| author_facet | Vera Gesina Kortman Barbara Mazzolai Aimeé Sakes Jovana Jovanova |
| author_sort | Vera Gesina Kortman |
| collection | DOAJ |
| description | Engineers frequently aim to streamline environmental factors to facilitate the effective operation of robots. However, in nature, environmental considerations play a crucial role in shaping the embodiment of organisms. To comply robots with the complexity of real‐world environments, embedding similar intelligence is key. In the field of soft robotics, various approaches offer insight into how intelligence can be integrated into artificial agents. A discussed topic is the intricate relationship between the brain and the body at the core of intelligence in robots. The goal of this article is, therefore, to unravel the strategies to implement different types of intelligence currently adopted in soft robots. A classification is made by making a distinction between agents that adapt to their environment by 1) their adaptive shape, 2) their adaptive functionality, and 3) their adaptive mechanics. Additionally, the perspectives on intelligence based on their computational approach are distinguished: centralized computation, decentralized computation, or embedded computation. It is concluded that a tailored robotic design approach attuned to specific environmental demands is needed. To unlock the full potential of soft robots, a fresh perspective on embodied intelligence is described, so‐called mechanical intelligence, emphasizing the robot's responsiveness to changing external conditions of a real‐world environment. |
| format | Article |
| id | doaj-art-f0056716b00448149a75052b5899822b |
| institution | Kabale University |
| issn | 2640-4567 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj-art-f0056716b00448149a75052b5899822b2025-01-21T07:26:27ZengWileyAdvanced Intelligent Systems2640-45672025-01-0171n/an/a10.1002/aisy.202400294Perspectives on Intelligence in Soft RoboticsVera Gesina Kortman0Barbara Mazzolai1Aimeé Sakes2Jovana Jovanova3Department of BioMechanical Engineering Delft University of Technology 2628CD Delft The NetherlandsBioinspired Soft Robotics Lab Istituto Italiano di Tecnologia 30 16163 Genova ItalyDepartment of BioMechanical Engineering Delft University of Technology 2628CD Delft The NetherlandsDepartment of Marine and Transport Technology Delft University of Technology 2628CD Delft The NetherlandsEngineers frequently aim to streamline environmental factors to facilitate the effective operation of robots. However, in nature, environmental considerations play a crucial role in shaping the embodiment of organisms. To comply robots with the complexity of real‐world environments, embedding similar intelligence is key. In the field of soft robotics, various approaches offer insight into how intelligence can be integrated into artificial agents. A discussed topic is the intricate relationship between the brain and the body at the core of intelligence in robots. The goal of this article is, therefore, to unravel the strategies to implement different types of intelligence currently adopted in soft robots. A classification is made by making a distinction between agents that adapt to their environment by 1) their adaptive shape, 2) their adaptive functionality, and 3) their adaptive mechanics. Additionally, the perspectives on intelligence based on their computational approach are distinguished: centralized computation, decentralized computation, or embedded computation. It is concluded that a tailored robotic design approach attuned to specific environmental demands is needed. To unlock the full potential of soft robots, a fresh perspective on embodied intelligence is described, so‐called mechanical intelligence, emphasizing the robot's responsiveness to changing external conditions of a real‐world environment.https://doi.org/10.1002/aisy.202400294embodied intelligencemechanical intelligencemorphological computationphysical intelligencesoft robotics |
| spellingShingle | Vera Gesina Kortman Barbara Mazzolai Aimeé Sakes Jovana Jovanova Perspectives on Intelligence in Soft Robotics Advanced Intelligent Systems embodied intelligence mechanical intelligence morphological computation physical intelligence soft robotics |
| title | Perspectives on Intelligence in Soft Robotics |
| title_full | Perspectives on Intelligence in Soft Robotics |
| title_fullStr | Perspectives on Intelligence in Soft Robotics |
| title_full_unstemmed | Perspectives on Intelligence in Soft Robotics |
| title_short | Perspectives on Intelligence in Soft Robotics |
| title_sort | perspectives on intelligence in soft robotics |
| topic | embodied intelligence mechanical intelligence morphological computation physical intelligence soft robotics |
| url | https://doi.org/10.1002/aisy.202400294 |
| work_keys_str_mv | AT veragesinakortman perspectivesonintelligenceinsoftrobotics AT barbaramazzolai perspectivesonintelligenceinsoftrobotics AT aimeesakes perspectivesonintelligenceinsoftrobotics AT jovanajovanova perspectivesonintelligenceinsoftrobotics |