Presentation
24 June 2021 SHERO: Self-healing Soft Robotics
Author Affiliations +
Abstract
Soft robotic systems benefit from improved compliance and larger degrees of freedom, allowing more complex motions and safer interaction with their environment than rigid robotic structures. Due to the inherent softness of the materials that are often used to create such soft robotic structures, these systems are highly susceptible to various damage modes, such as cuts or punctures by sharp objects, overloading during actuation, flaws originating from manufacturing process or fatigue failure, drastically limiting their service lifetimes. Various types of synthetic materials that possess the ability to repair damage are being used to create soft robotic systems that are able to recover their performance by repairing incurred damage, either autonomously or after the application of a stimulus. The breakthrough targeted in the SHERO project is the development of complete robotic systems that are able to (1) sense and locate damage and to evaluate the system performance, (2) react intelligently to alleviate the damaging event and prevent catastrophic failure, (3) take the necessary measures to heal the damage to restore all functions by facilitating an autonomous or controlled healing action of the damaged element, and (4) perform a rehabilitation by evaluating the quality of the healing process and the recovery of functional performance, and finally, (5) return to action.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joost Brancart, Seppe Terryn, Guy Van Assche, François Tournhilhac, Frank Clemens, Fumiya Iida, Anton W. Bosman, and Bram Vanderborght "SHERO: Self-healing Soft Robotics", Proc. SPIE 11786, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V, 117860A (24 June 2021); https://doi.org/10.1117/12.2593808
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KEYWORDS
Robotics

Actuators

Robotic systems

Sensors

Structural health monitoring

Feedback control

Sensing systems

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