Robotics training is currently inefficient, costly, and risky, often leading to obstacles during development. A new approach utilizes photorealistic game worlds for robot training, making it possible to learn through trial and error. Game engines like Unity and Unreal Engine are employed to create synthetic environments where robots can practice tasks repeatedly without the fear of damage or considerable expense. This transformation signifies a pivotal shift in robotic development, akin to the transition from analog to digital technology.
Robots are being trained with trial and error. Much like human children learn.
This simulation-first revolution is transforming the very nature of robotics.
Instead of risking spills or accidents, robots can be trained entirely in a virtual café.
Every mistake costs nothing. Every spilled virtual coffee can be cleaned up instantly.
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