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Exploiting Mechanical Instabilities in Soft Robotics: Control, Sensing, and Actuation.
Pal, Aniket; Restrepo, Vanessa; Goswami, Debkalpa; Martinez, Ramses V.
Afiliación
  • Pal A; School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN, 47907, USA.
  • Restrepo V; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569, Stuttgart, Germany.
  • Goswami D; School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, 47907, USA.
  • Martinez RV; School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN, 47907, USA.
Adv Mater ; 33(19): e2006939, 2021 May.
Article en En | MEDLINE | ID: mdl-33792085
The rapidly expanding field of soft robotics has provided multiple examples of how entirely soft machines and actuators can outperform conventional rigid robots in terms of adaptability, maneuverability, and safety. Unfortunately, the soft and flexible materials used in their construction impose intrinsic limitations on soft robots, such as low actuation speeds and low output forces. Nature offers multiple examples where highly flexible organisms exploit mechanical instabilities to store and rapidly release energy. Guided by these examples, researchers have recently developed a variety of strategies to overcome speed and power limitations in soft robotics using mechanical instabilities. These mechanical instabilities provide, through rapid transitions from structurally stable states, a new route to achieve high output power amplification and attain impressive actuation speeds. Here, an overview of the literature related to the development of soft robots and actuators that exploit mechanical instabilities to expand their actuation speed, output power, and functionality is presented. Additionally, strategies using structural phase transitions to address current challenges in the area of soft robotic control, sensing, and actuation are discussed. Approaches using instabilities to create entirely soft logic modules to imbue soft robots with material intelligence and distributed computational capabilities are also reviewed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Mater Asunto de la revista: BIOFISICA / QUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Mater Asunto de la revista: BIOFISICA / QUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania