New AI-evolved robots refuse to die


By Dr. Tim Sandle
SCIENCE EDITOR

DIGITAL JOURNAL

March 10, 2026


Aigen's solar-powered autonomous robots aim to take the chemicals and toil out of industrial weeding - Copyright GETTY IMAGES NORTH AMERICA/AFP/File RICK DIAMOND

AI-designed metamachines run in the wild, recover from damage and transform into new shapes, according to recent studies. These new modular legged robots are said possess athletic intelligence and they are comprised of multiple smaller autonomous robots, with each athletic module being a complete robot with its own motor, battery and brain.

Together, each modules forms a larger machine that can be rapidly assembled, repaired or reshaped. The study, from Northwestern University engineers, marks first evolved robot to set foot outdoors and first modular robot with agility.

These robots can be combined and recombined in the wild, recover from injury and keep moving no matter what challenges they face.


If flipped upside down, the robots instinctively bring themselves upright and continue their journey. They can survive being chopped in half or cut up into many pieces. When separated, every module within the metamachine can become an individual agent.

Called “legged metamachines,” the creations are made from autonomous, Lego-like modules that snap together into an endless number of configurations. Each module by itself is a complete robot with its own motor, battery and computer. Alone, a module can roll, turn and jump. But the real agility and indestructibility emerges when the modules combine.




To design the most effective combinations, the engineers used artificial intelligence (AI) to evolve novel body configurations. Instead of sticking with standard dog- or human-like designs, the AI churned out strange new “species” of machines that no human engineer would have conceived. When connected to other modules, the metamachines undulate like seals, bound like lizards or spring like kangaroos.

The robots also can flip themselves upright when turned over, hop over obstacles and perform acrobatics like spinning in air. Because a metamachine is essentially a robot made up of other robots, it can resist catastrophic damage. Broken parts don’t become dead weight; they keep rolling, crawling and rejoin the team.

By combining physical modularity with AI-driven design, the researchers have opened the door to a new class of robots that don’t just survive the real world — they adapt to it. These machines point toward a future where robots are less like fragile, pre-designed tools and more like resilient, evolving lifeforms.

Evolution accelerated by computers

While today’s robots can be fast and agile, their body shapes are often fixed and rigid. Most robots cannot adapt to new tasks, environments or physical damage. If a robotic dog breaks a leg, for example, it’s basically useless. To escape those limitations, the engineersteam turned to AI — not to copy familiar designs but to evolve something entirely new.

The researchers started with an evolutionary algorithm that mimics natural selection. As a starting point, the team gave the algorithm the building blocks for the robot. These building blocks are half meter-long modular legs, which look like a pair of sticks joined by a central sphere.

The researchers gave the algorithm a goal: Design a robot with efficient, versatile movement. By mixing and matching the modules in different combinations, the algorithm generated new body types. It then simulated each design, keeping the best performers and discarding the weak. It also iteratively “bred” new designs by combining or mutating them. Depending on the robot’s body, modular legs became legs, spines or tails.

Traversing rugged terrain

To test the designs, the engineers assembled the best three-, four- and five-legged designs found by evolution. In outdoor tests, the metamachines ran across rough terrain, including gravel, grass, tree roots, leaves, sand, mud and uneven bricks. They jumped, spun and righted themselves when flipped — all without complicated setup or retraining.

Unlike traditional robots that fail when a single part breaks, these machines can adapt, recover and survive. Even when a leg breaks off, the metamachine remains resilient. The modules adapt to a missing leg and keep moving. The missing leg, too, can roll home and rejoin its team.

The research appears in the journal Proceedings of the National Academy of Sciences. The study is titled “Agile legged locomotion in reconfigurable modular robots.”