Summary:Researchers have developed a self-healing magnetoelectric sensory system (SMES) that combines self-powered sensing, damage detection, and autonomous repair in a single electronic skin. Designed for underwater robotics, wearable devices, and soft machines, the technology enables durable operation in harsh aquatic environments without relying on external power.

A new Self-Healing Magnetoelectric Sensory System (SMES) is advancing the future of underwater robotics, electronic skin, and soft robotics by integrating touch sensing, proximity detection, damage monitoring, and autonomous self-repair into a single device.

An amphibious, self-healing magnetoelectric system with integrated damage sensing.

Built on a stretchable self-healing elastomer embedded with liquid-metal conductors, SMES mimics the functions of biological skin. The system can detect physical contact, sense nearby objects without touch, and identify punctures or cuts through changes in electrical resistance. When damaged, the material automatically reconnects at the molecular level, restoring functionality without external intervention.

Unlike conventional underwater sensors that depend on batteries, SMES is entirely self-powered. Using electromagnetic induction, a miniature magnet and liquid-metal coil generate electrical signals when movement or pressure occurs. This design enables reliable operation in environments where battery replacement or maintenance is difficult.

Performance tests demonstrated a response time of approximately 41 milliseconds and stable sensing performance after 10,000 operating cycles. The system also maintained functionality after extended underwater immersion, including in simulated seawater conditions.

The technology has already been demonstrated in a smart diving glove capable of translating underwater hand gestures into wireless commands, and in a robotic hand that can grasp objects underwater while continuously monitoring and recovering from damage.

As demand grows for more resilient underwater sensors, self-healing electronics, robotic grippers, wearable technology, and human-machine interfaces, SMES highlights a promising pathway toward intelligent machines that can sense, adapt, and repair themselves in challenging environments.