Optical lace for synthetic afferent neural networks

Xu, Patricia; Mishra, Anand; Bai, Hedan; Aubin, Cameron A.; Zullo, Letizia; Shepherd, Robert F.

doi:10.1126/scirobotics.aaw6304

Cited by 70 publications

(59 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In subsequent iterations, a 3D printed sheath was devised so that the same core yarn could be used to sense bending in 3D printed scaffolds. [ 430 ]…”

Section: Textile Sensors For Wearable Robotsmentioning

confidence: 99%

Textile Technology for Soft Robotic and Autonomous Garments

Sánchez¹,

Walsh²,

Wood³

2020

Adv Funct Materials

180

123

View full text Add to dashboard Cite

Textiles have emerged as a promising class of materials for developing wearable robots that move and feel like everyday clothing. Textiles represent a favorable material platform for wearable robots due to their flexibility, low weight, breathability, and soft hand‐feel. Textiles also offer a unique level of programmability because of their inherent hierarchical nature, enabling researchers to modify and tune properties at several interdependent material scales. With these advantages and capabilities in mind, roboticists have begun to use textiles, not simply as substrates, but as functional components that program actuation and sensing. In parallel, materials scientists are developing new materials that respond to thermal, electrical, and hygroscopic stimuli by leveraging textile structures for function. Although textiles are one of humankind's oldest technologies, materials scientists and roboticists are just beginning to tap into their potential. This review provides a textile‐centric survey of the current state of the art in wearable robotic garments and highlights metrics that will guide materials development. Recent advances in textile materials for robotic components (i.e., as sensors, actuators, and integration components) are described with a focus on how these materials and technologies set the stage for wearable robots programmed at the material level.

show abstract

“…In subsequent iterations, a 3D printed sheath was devised so that the same core yarn could be used to sense bending in 3D printed scaffolds. [ 430 ]…”

Section: Textile Sensors For Wearable Robotsmentioning

confidence: 99%

Textile Technology for Soft Robotic and Autonomous Garments

Sánchez¹,

Walsh²,

Wood³

2020

Adv Funct Materials

180

123

View full text Add to dashboard Cite

show abstract

“…As a biomimetic signaling method, this approach is promising for reducing computational requirements when a robot is covered with thousands of sensors. Multimodal sensing could also be achieved through integration of multiple stretchable optical fibers, which has been shown to be effective at, for example, localizing and estimating force in soft actuators (49).…”

Section: Electronic Skins -From Flexible and Stretchable Electronicsmentioning

confidence: 99%

Electronic skins and machine learning for intelligent soft robots

et al. 2020

View full text Add to dashboard Cite

Soft robots have garnered interest for real-world applications because of their intrinsic safety embedded at the material level. These robots use deformable materials capable of shape and behavioral changes and allow conformable physical contact for manipulation. Yet, with the introduction of soft and stretchable materials to robotic systems comes a myriad of challenges for sensor integration, including multimodal sensing capable of stretching, embedment of high-resolution but large-area sensor arrays, and sensor fusion with an increasing volume of data. This Review explores the emerging confluence of e-skins and machine learning, with a focus on how roboticists can combine recent developments from the two fields to build autonomous, deployable soft robots, integrated with capabilities for informative touch and proprioception to stand up to the challenges of real-world environments.

show abstract

“…[ 180 ] Future work should focus on the reduction of both heating and cooling times, and the integration of novel flexible sensors into the programmable stiffness material to monitor temperature, stiffness, and strain while minimizing the number of components needed for full functionality. [ 43,237–240 ]…”

Section: Electroprogrammable Stiffness Via Electrically Driven Phase Changementioning

confidence: 99%

Materials with Electroprogrammable Stiffness

Levine

Turner

2021

Advanced Materials

View full text Add to dashboard Cite

Stiffness is a mechanical property of vital importance to any material system and is typically considered a static quantity. Recent work, however, has shown that novel materials with programmable stiffness can enhance the performance and simplify the design of engineered systems, such as morphing wings, robotic grippers, and wearable exoskeletons. For many of these applications, the ability to program stiffness with electrical activation is advantageous because of the natural compatibility with electrical sensing, control, and power networks ubiquitous in autonomous machines and robots. The numerous applications for materials with electrically driven stiffness modulation has driven a rapid increase in the number of publications in this field. Here, a comprehensive review of the available materials that realize electroprogrammable stiffness is provided, showing that all current approaches can be categorized as using electrostatics or electrically activated phase changes, and summarizing the advantages, limitations, and applications of these materials. Finally, a perspective identifies state‐of‐the‐art trends and an outlook of future opportunities for the development and use of materials with electroprogrammable stiffness.

show abstract

Optical lace for synthetic afferent neural networks

Cited by 70 publications

References 44 publications

Textile Technology for Soft Robotic and Autonomous Garments

Textile Technology for Soft Robotic and Autonomous Garments

Electronic skins and machine learning for intelligent soft robots

Materials with Electroprogrammable Stiffness

Contact Info

Product

Resources

About