Episode 120: Evolving robots to explore other planets - Emma Hart

Robot Talk · 9 May 2025 · 26m · Episode 120

AI in practice: 2 real uses of AI described

What this episode covers

Emma Hart, a professor at Edinburgh Napier University, explains how evolutionary algorithms can evolve both the physical design and control systems of robots for planetary exploration. She describes a proof-of-concept project involving a 'factory in a box' that uses 3D printing and automated assembly to build robots adapted to specific environments. Hart details how the system evolves robot 'DNA'—encoding body and brain traits—to solve tasks like navigating rough terrain, often producing unexpected, animal-like designs. The research, conducted with the University of York and others, demonstrates end-to-end automated manufacturing and simulation, with potential applications in nuclear decommissioning and sustainable robotics.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Designgenerative artificial intelligence

AI was used to design a robot specifically adapted to the environment it found on a planet, rather than predesigning it on Earth.

“you could use a machine, some sort of generative artificial intelligence, to design a robot that was exactly specified to the environment that you found.”

Speaker 2 · Hear it at 2:34

Engineering & simulation

An AI project wrote the software to mimic the evolutionary process, which was part of a joint proof-of-concept project with engineering teams.

“So we managed to have an end to end process. So we would specify a task … We would run this evolutionary process in simulation on the computer.”

Speaker 2 · Hear it at 13:11

Mentioned

Companies
Edinburgh Napier University, University of York, University of West of England, University of Amsterdam
Chips
Raspberry Pi
Tools
3D printer

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