Robohub.org
 

A variable stiffness fiber that self-heals


by
27 October 2016



share this:
img_4456_dxo_web

A group from Floreano Lab, EPFL and NCCR Robotics has today published their novel variable stiffness fibre with self-healing capability.

Soft “hardware” components are becoming more and more popular solutions within the field of robotics. In fact softness, compliance and foldability bring significant advantages to devices by allowing conformability and safe interactions with users, objects and unstructured environments. However for some applications, the softness of components adversely reduces the range of forces those devices can apply or sustain. An optimal solution would be having components able to vary their softness according to the needed task.

The fibre has a metal core, consisting of low melting point alloys (LMPA), which is contained within a pre-stretched silicone tube. At room temperatures the LMPA is a solid, thus, the fibre is stiff and behaves like a thin metal wire. But when an electrical current is passed through a copper wire coiled around the tube, the LMPA inner core is warmed above 62 oC and melts, thus, the fibre becomes up to 700 times softer and 400 times more deformable.

img_4462_dxo_web

The second advantage is that if the metallic core breaks it just needs to be heated and — voila! The fibre is fixed! And to top it off, the changing of states occurs in tens of seconds (depending on the current injected and the dimension of the LMPA core).

The fibre has a myriad of real-world applications in the fields of mobile robots, wearable devices and soft systems. Currently, the team is using the fibre to create multi-purpose foldable drones. In fact, the fibre can be morphed into different shapes that are preserved after cooling, ie the four arms of the drone can take different functional morphologies, i.e. deployed in a quadrotor-like configuration for aerial locomotion or bent towards the ground in a four-wheeled configuration for terrestrial locomotion.

img_4473_dxo_web

Future applications that the team is investigating include in endoscopes and other medical applications, where instruments need to be soft and pliable as they are exploring delicate body cavities, but then need to be able to penetrate resistive biological tissues (e.g. for a biopsy) once they have reached their desired location.

Reference

Tonazzini, A., Mintchev, S., Schubert, B., Mazzolai, B., Shintake, J. and Floreano, D. (2016), Variable Stiffness Fiber with Self-Healing Capability. Adv. Mater.. doi:10.1002/adma.201602580



tags: , , , ,


NCCR Robotics

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits

Researchers look to the fish brain to create a robotic zebrafish that can autonomously swim upstream.

Researchers develop modular nanorobot

  31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.

Soft robotic heart offers new way to study disease and test life-saving devices

Researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices.

A mini robot to simplify dental treatment

  24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.

Pressure-free growing robots for soft medical robotics

A Q&A with the best paper award winner at RoboSoft.

Interactive world simulator for robot policy training and evaluation

  20 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

Undergrads’ weed-killing robot wins top prize

  17 Jul 2026
Their robot can travel through a vineyard or orchard without a human operator, zapping weeds with a small amount of electricity.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence