![]() In early 2020, Kriegman garnered widespread media attention for developing xenobots, the first living robots made entirely from biological cells. Kriegman and Matthews worked closely with co-authors Andrew Spielberg and Daniela Rus (Massachusetts Institute of Technology) and Josh Bongard (University of Vermont) for several years before their breakthrough discovery. David Matthews, a scientist in Kriegman's laboratory, is the paper's first author. ![]() Kriegman is an assistant professor of computer science, mechanical engineering and chemical and biological engineering at Northwestern's McCormick School of Engineering, where he is a member of the Center for Robotics and Biosystems. I call this process 'instant evolution.'" Then we simply pressed a button and presto! It generated a blueprint for a robot in the blink of an eye that looks nothing like any animal that has ever walked the earth. "We told the AI that we wanted a robot that could walk across land. "We discovered a very fast AI-driven design algorithm that bypasses the traffic jams of evolution, without falling back on the bias of human designers," said Northwestern's Sam Kriegman, who led the work. 3 in the Proceedings of the National Academy of Sciences. And even after crunching all that data, those systems are tethered to the constraints of human creativity - only mimicking humans' past works without an ability to generate new ideas. This stands in sharp contrast to other AI systems, which often require energy-hungry supercomputers and colossally large datasets. It also runs on a lightweight personal computer and designs wholly novel structures from scratch. While it took nature billions of years to evolve the first walking species, the new algorithm compressed evolution to lightning speed - designing a successfully walking robot in mere seconds.īut the AI program is not just fast. ![]() To test the new AI, the researchers gave the system a simple prompt: Design a robot that can walk across a flat surface.
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