There is something universally appealing about the slap bracelet, and the way a simple tap causes it to switch between a straight shape and a curled one. What you probably didn’t know is that a slap bracelet’s satisfying snap is the same principle behind bistable structures. These can toggle between two stable positions (one representing 0 and the other 1) to store data directly within their physical forms as mechanical bits (m-bits).

Because of their exciting potential for efficient control of robotic and other mechanical systems, researchers have been engineering special materials with programmable structures (programmable metamaterials) for years. But until now, actual programming of such systems has been a major challenge: mechanical bits must typically be controlled individually, which is extremely cumbersome and time-consuming.

Now, researchers in the Flexible Structures Laboratory (fleXLab) in EPFL’s School of Engineering, the Dutch research institute AMOLF, and Leiden University have found a way to program metamaterials globally with a surprisingly simple solution: rotation. By tuning a spinning platform’s speed, direction, and acceleration, the researchers can harness forces arising in a rotating system—such as centrifugal and Euler forces—to make elastic beams snap back and forth, creating a simple new way to “write” multiple mechanical bits at once.

Today’s advances in robotics are often driven by breakthroughs in artificial intelligence, machine learning, and perception. But in complex and constrained environments, the limiting factor is often hardware, not software. Systems that rely on constant data processing, high-bandwidth communication, and centralized compute can face delays, power constraints, and vulnerabilities that limit performance or prevent mission success altogether.

DARPA is looking to tackle these challenges by embedding intelligence directly into the physical materials of robotic systems. A new Request for Information (RFI), calls on the research community to help define a new class of materials capable of intermixed sensing, adapting, and acting in real time without relying on continuous external computation or communication links.

While the RFI itself is exploratory, it is a first step toward a more immediate opportunity: an invite-only, in-person workshop planned for the summer 2026. Selected participants will have the chance to present their ideas, engage with DARPA, and inform future program directions.