Robots that evolve like lifeforms to survive the unpredictable wild
In short: Imagine a robot that doesn't just follow instructions but adapts, heals, and evolves. By replicating the mechanics of biological evolution, researchers are creating modular machines capable of self-assembling into new species to navigate environments too harsh for traditional, pre-designed tools.
Current robotics often relies on rigid designs tailored for predictable environments. However, computer scientist Emma Hart is exploring a shift toward 'artificial evolution.' This approach replicates the three core ingredients of biological evolution digitally to create robots that can self-assemble and optimize their own forms. The goal is to build machines capable of navigating extreme terrains—from the rocky surfaces of other planets to the deepest parts of our oceans—with little to no human intervention.
A practical application of this concept is seen in 'legged metamachines' developed by Northwestern University engineers. These robots are composed of autonomous, Lego-like modules, each equipped with its own motor, battery, and computer. While a single module can roll or jump, their true power emerges when they snap together. Using artificial intelligence to evolve novel body configurations, researchers produced machines that move like seals, lizards, or kangaroos—shapes no human engineer would have conceived.
The most profound shift lies in resilience. Because these metamachines are made of smaller robots, they possess a form of 'athletic intelligence.' If a part is damaged or chopped in half, it does not become dead weight; the remaining pieces continue to move and can eventually rejoin the team. They can even flip themselves upright instinctively if overturned. This modularity allows them to recover from injuries that would be fatal to traditional robots.
Moving forward, the challenge lies in bridging the gap between simulation and reality. While AI has advanced rapidly through massive text datasets, robotics requires high-quality data on physical touch and motion. To move beyond prototypes into mass production, engineers must integrate these evolving modular systems with sophisticated sensors and materials science to handle the 'unpredictable' environments where humans currently hold the advantage.
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Sources
- Summary by Intellect · source: Self-Assembling Robots and the Potential of Artificial Evolution | Emma Hart | TED
- Also: These robots are born to run — and never die
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