Sunil K. Agrawal
Soft Materials for Soft Actuators
Inspired by living organisms, soft material robotics hold great promise for areas where robots need to contact and interact with humans, such as manufacturing and healthcare. Unlike rigid robots, soft robots can replicate natural motion—grasping and manipulation—to provide medical and other types of assistance, perform delicate tasks, or pick up soft objects.
To achieve an actuator with high strain and high stress coupled with low density, lead author of the study Aslan Miriyev, a postdoctoral researcher in the Creative Machines lab, used a silicone rubber matrix with ethanol distributed throughout in micro-bubbles. The solution combined the elastic properties and extreme volume change attributes of other material systems while also being easy to fabricate, low cost, and made of environmentally safe materials.
After being 3D-printed into the desired shape, the artificial muscle was electrically actuated using a thin resistive wire and low-power (8V). It was tested in a variety of robotic applications where it showed significant expansion-contraction ability, being capable of expansion up to 900% when electrically heated to 80°C. Via computer controls, the autonomous unit is capable of performing motion tasks in almost any design.
“Our soft functional material may serve as robust soft muscle, possibly revolutionizing the way that soft robotic solutions are engineered today,” said Miriyev. “It can push, pull, bend, twist, and lift weight. It’s the closest artificial material equivalent we have to a natural muscle.”
The researchers will continue to build on this development, incorporating conductive materials to replace the embedded wire, accelerating the muscle’s response time and increasing its shelf life. Long-term, they will involve artificial intelligence to learn to control the muscle, which may be a last milestone towards replicating natural motion.
About the Study
Journal: Nature Communications
Title: Soft Material for Soft Actuators
Authors: Aslan Miriyev, Kenneth Stack & Hod Lipson
The study was funded by Columbia University and an Israeli Ministry of Defense (IMoD) grant for 3D-printed robotics.
COI: The authors declare no financial or other conflicts of interest.
Columbia Engineering
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