The risk of training robots in virtual worlds

Training a robot takes more than giving it well-written instructions. It needs to learn what it can reach, what falls over, what moves when it pushes, and what happens if a person crosses its path. Practicing every situation with a real robot takes time and money and, in some cases, involves risks. A simulated environment could allow many variations to be rehearsed before trying them beyond the screen. The key word is “could.” A useful simulation has to represent what matters in the real world accurately enough. A spectacular video can get something as basic as the weight of a box or the grip of a hand wrong. And a robot that learns an incorrect rule in a virtual world can bring that error into a real warehouse. I would not assume that generating increasingly impressive worlds is the same as solving robotics.

Full episode: https://youtu.be/F09sRLkyvu8

🤖 AI-generated content: the script, voices, and images for this episode were produced using artificial intelligence tools.

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