World Labs turns one real-world robot task into thousands of simulated variations for training
World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled a simulation engine that trains robot controllers entirely in virtual environments. From a single real-world task, the system generates thousands of controlled variations. The trained models then ran for one hour each on five…
World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled a simulation engine that trains robot controllers entirely in virtual environments. From a single real-world task, the system generates thousands of controlled variations. The trained models then ran for one hour each on five different robot platforms without human intervention. How well the results hold up in more complex everyday situations remains to be seen. The article World Labs turns one real-world robot task into thousands of simulated variations for training appeared first on The Decoder.Source: The Decoder — Published — Category: Models