Teaching robots to navigate physical environments is hard—very, very hard.

In a groundbreaking development in robotics, a team of researchers at NVIDIA has created an AI agent called Eureka that can train robots to perform intricate tasks.

Eureka uses GPT‑4 to generate code that outlines specific goals for simulated robots, setting them on a path of trial-and-error learning. As the robot undertakes its assigned task, Eureka continuously gathers feedback and refines the code, fostering a virtuous cycle of enhanced code and accelerated learning that would be exceptionally challenging for humans to program.

In fact, NVIDIA’s trials have demonstrated that Eureka surpasses the work of humans in over 80% of the tasks examined thus far.

The incredible David Mattin recently explained why this is A Very Big Deal: “Eureka and AI agents like it, though, have the potential to spark an explosion in robot competence.”

Eureka shows how AI will revolutionize the field of robotics, empowering robots to tackle complex tasks with unprecedented proficiency and efficiency. Eureka’s ability to autonomously accelerate robot learning marks a pivotal step towards a future where robots seamlessly integrate into our daily lives, augmenting human capabilities, and propelling innovation across diverse industries.