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      Self‐Regulated Self‐Healing Robotic Gripper for Resilient and Adaptive Grasping

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          Abstract

          Flexible, soft materials are increasingly used for the fabrication of soft robots, as the inherent compliance and shock‐absorbance protect the robot from mechanical impact. Soft universal grippers take full advantage of this adaptability, facilitating effective and safe grasping of various objects. However, due to their predominantly soft material composition, these grippers have limited lifetimes, especially when operating in unstructured and unfamiliar environments. The self‐healing universal gripper (SHUG) is proposed, which can grasp various objects and recover from substantial realistic damages autonomously. It integrates damage detection, heat‐assisted healing, and healing evaluation. Notably, unlike other universal grippers, the entire SHUG can be fully reprocessed and recycled. The gripper's functionality relies on the particle jamming of steel balls enclosed within a self‐healing membrane. Thanks to the thermoreversible covalent Diels–Alder bonds in self‐healing polymer membrane, the gripper is able to recover from macroscopic damages including scratches and punctures. Temperature‐assisted healing is regulated in a closed‐loop manner using an embedded thermocouple and Joule heater. Experimental validation demonstrates the adaptability, resilience, and recyclability of the SHUG.

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          Design, fabrication and control of soft robots.

          Conventionally, engineers have employed rigid materials to fabricate precise, predictable robotic systems, which are easily modelled as rigid members connected at discrete joints. Natural systems, however, often match or exceed the performance of robotic systems with deformable bodies. Cephalopods, for example, achieve amazing feats of manipulation and locomotion without a skeleton; even vertebrates such as humans achieve dynamic gaits by storing elastic energy in their compliant bones and soft tissues. Inspired by nature, engineers have begun to explore the design and control of soft-bodied robots composed of compliant materials. This Review discusses recent developments in the emerging field of soft robotics.
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            Soft robotics: a bioinspired evolution in robotics.

            Animals exploit soft structures to move effectively in complex natural environments. These capabilities have inspired robotic engineers to incorporate soft technologies into their designs. The goal is to endow robots with new, bioinspired capabilities that permit adaptive, flexible interactions with unpredictable environments. Here, we review emerging soft-bodied robotic systems, and in particular recent developments inspired by soft-bodied animals. Incorporating soft technologies can potentially reduce the mechanical and algorithmic complexity involved in robot design. Incorporating soft technologies will also expedite the evolution of robots that can safely interact with humans and natural environments. Finally, soft robotics technology can be combined with tissue engineering to create hybrid systems for medical applications. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              The stiffness of living tissues and its implications for tissue engineering

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                Author and article information

                Contributors
                Journal
                Advanced Intelligent Systems
                Advanced Intelligent Systems
                Wiley
                2640-4567
                2640-4567
                August 29 2023
                Affiliations
                [1 ] Bio-Inspired Robotics Lab Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ UK
                [2 ] Brubotics Vrije Universiteit Brussel and Imec Pleinlaan 2 1050 Elsene Belgium
                [3 ] Physical Chemistry and Polymer Science (FYSC) Vrije Universiteit Brussel Pleinlaan 2 1050 Elsene Belgium
                Article
                10.1002/aisy.202300223
                a9682ff3-2439-4ab8-900b-91cdd9d29b94
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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