Autonomous self-healing optical sensors for damage intelligent soft-bodied systems

Author:

Bai Hedan1ORCID,Kim Young Seong1ORCID,Shepherd Robert F.12ORCID

Affiliation:

1. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14850, USA.

2. Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14850, USA .

Abstract

We introduce damage intelligent soft-bodied systems via a network of self-healing light guides for dynamic sensing (SHeaLDS). Exploiting the intrinsic damage resilience of light propagation in an optical waveguide, in combination with a tough, transparent, and autonomously self-healing polyurethane urea elastomer, SHeaLDS enables damage resilient and intelligent robots by self-healing cuts as well as detecting this damage and controlling the robot’s actions accordingly. With optimized material and structural design for hyperelastic deformation of the robot and autonomous self-healing capacity, SHeaLDS provides reliable dynamic sensing at large strains (ε = 140%) with no drift or hysteresis, is resistant to punctures, and self-heals from cuts at room temperature with no external intervention. As a demonstration of utility, a soft quadruped protected by SHeaLDS detects and self-heals from extreme damage (e.g., six cuts on one leg) in 1 min and monitors and adapts its gait based on the damage condition autonomously through feedback control.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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