A College of Nebraska–Lincoln engineering group is one other step nearer to growing mushy robotics and wearable techniques that mimic the power of human and plant pores and skin to detect and self-heal accidents.
Engineer Eric Markvicka, together with graduate college students Ethan Krings and Patrick McManigal, just lately offered a paper on the IEEE Worldwide Convention on Robotics and Automation in Atlanta, Georgia, that units forth a systems-level method for a mushy robotics know-how that may determine harm from a puncture or excessive strain, pinpoint its location and autonomously provoke self-repair.
The paper was among the many 39 of 1,606 submissions chosen as an ICRA 2025 Finest Paper Award finalist. It was additionally a finalist for the Finest Pupil Paper Award and within the mechanism and design class.
The group’s technique could assist overcome a longstanding downside in growing mushy robotics techniques that import nature-inspired design rules.
“In our neighborhood, there’s a big push towards replicating conventional inflexible techniques utilizing mushy supplies, and an enormous motion towards biomimicry,” mentioned Markvicka, Robert F. and Myrna L. Krohn Assistant Professor of Biomedical Engineering. “Whereas we have been capable of create stretchable electronics and actuators which can be mushy and conformal, they usually do not mimic biology of their capacity to answer harm after which provoke self-repair.”
To fill that hole, his group developed an clever, self-healing synthetic muscle that includes a multi-layer structure that permits the system to determine and find harm, then provoke a self-repair mechanism—all with out exterior intervention.
“The human physique and animals are superb. We will get lower and bruised and get some fairly severe accidents. And typically, with very restricted exterior purposes of bandages and drugs, we’re capable of self-heal a number of issues,” Markvicka mentioned. “If we might replicate that inside artificial techniques, that may actually rework the sphere and the way we take into consideration electronics and machines.”
The group’s “muscle”—or actuator, the a part of a robotic that converts vitality into bodily motion—has three layers. The underside one—the harm detection layer—is a mushy digital pores and skin composed of liquid metallic microdroplets embedded in a silicone elastomer. That pores and skin is adhered to the center layer, the self-healing element, which is a stiff thermoplastic elastomer. On high is the actuation layer, which kick-starts the muscle’s movement when pressurized with water.
To start the method, the group induced 5 monitoring currents throughout the underside “pores and skin” of the muscle, which is linked to a microcontroller and sensing circuit. Puncture or strain harm to that layer triggers the formation of {an electrical} community between the traces. The system acknowledges this electrical footprint as proof of harm and subsequently will increase the present operating by the newly shaped electrical community.

This permits that community to operate as a neighborhood Joule heater, changing the vitality of the electrical present into warmth across the areas of harm. After a couple of minutes, this warmth melts and reprocesses the center thermoplastic layer, which seals the harm—successfully self-healing the wound.
The final step is resetting the system again to its authentic state by erasing the underside layer’s electrical footprint of harm. To do that, Markvicka’s group is exploiting the results of electromigration, a course of during which {an electrical} present causes metallic atoms emigrate. The phenomenon is historically considered as a hindrance in metallic circuits as a result of transferring atoms deform and trigger gaps in a circuit’s supplies, resulting in machine failure and breakage.
In a significant innovation, the researchers are utilizing electromigration to unravel an issue that has lengthy plagued their efforts to create an autonomous, self-healing system: the seeming permanency of the damage-induced electrical networks within the backside layer. With out the power to reset the baseline monitoring traces, the system can not full a couple of cycle of harm and restore.
It struck the researchers that electromigration—with its capacity to bodily separate metallic ions and set off open-circuit failure—is perhaps the important thing to erasing the newly shaped traces. The technique labored: By additional ramping up the present, the group can induce electromigration and thermal failure mechanisms that reset the harm detection community.
“Electromigration is mostly seen as an enormous damaging,” Markvicka mentioned. “It is one of many bottlenecks that has prevented the miniaturization of electronics. We use it in a singular and actually optimistic method right here. As an alternative of making an attempt to forestall it from taking place, we’re, for the primary time, harnessing it to erase traces that we used to suppose have been everlasting.”
Autonomously self-healing know-how has the potential to revolutionize many industries. In agricultural states like Nebraska, it might be a boon for robotics techniques that incessantly encounter sharp objects like twigs, thorns, plastic and glass. It might additionally revolutionize wearable well being monitoring units that should face up to every day put on and tear.
The know-how would additionally profit society extra broadly. Most consumer-based electronics have lifespans of just one or two years, contributing to billions of kilos of digital waste annually. This waste comprises toxins like lead and mercury, which threaten human and environmental well being. Self-healing know-how might assist stem the tide.
“If we will start to create supplies which can be capable of passably and autonomously detect when harm has occurred, after which provoke these self-repair mechanisms, it could actually be transformative,” Markvicka mentioned.
Extra info:
Ethan J. Krings et al. Clever Self-Therapeutic Synthetic Muscle: Mechanisms for Injury Detection and Autonomous Restore of Puncture Injury in Smooth Robotics, smr.unl.edu/papers/Krings_et_al-2025-ICRA.pdf
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Engineers develop self-healing muscle for robots (2025, Could 30)
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