🤖 AI Summary
Soft robotic systems for wearable applications face a fundamental trade-off between structural stability and user comfort. To address this, we propose a novel design paradigm integrating origami-inspired geometry with intelligent knitting fabrication. Specifically, we systematically map canonical origami tessellations—including Miura-ori, Yoshimura, and Kresling patterns—onto programmable knit architectures; thermoplastic yarns are precisely embedded via thermal bonding to govern folding directionality and suppress parasitic deformations. Furthermore, we integrate flexible electronics to realize a fully autonomous, knitted Kaleidocycle robot capable of self-sustained motion. This approach unifies structural reconfigurability, rapid dynamic response, and scalability for mass production. By co-designing material properties, geometric architecture, and digital knitting processes, our work establishes a new framework for wearable soft robotics that bridges functional performance with manufacturability.
📝 Abstract
Soft robots employing compliant materials and deformable structures offer great potential for wearable devices that are comfortable and safe for human interaction. However, achieving both structural integrity and compliance for comfort remains a significant challenge. In this study, we present a novel fabrication and design method that combines the advantages of origami structures with the material programmability and wearability of knitted fabrics. We introduce a general design method that translates origami patterns into knit designs by programming both stitch and material patterns. The method creates folds in preferred directions while suppressing unintended buckling and bending by selectively incorporating heat fusible yarn to create rigid panels around compliant creases. We experimentally quantify folding moments and show that stitch patterning enhances folding directionality while the heat fusible yarn (1) keeps geometry consistent by reducing edge curl and (2) prevents out-of-plane deformations by stiffening panels. We demonstrate the framework through the successful reproduction of complex origami tessellations, including Miura-ori, Yoshimura, and Kresling patterns, and present a wearable knitted Kaleidocycle robot capable of locomotion. The combination of structural reconfigurability, material programmability, and potential for manufacturing scalability highlights knitted origami as a promising platform for next-generation wearable robotics.