Sources
Wevolver
For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. Without… https://t.co/FqgPVRUOib
Chris Paxton How do we generate enough robotics data to deploy general-purpose robots in the real world? Generalist embodied agents need plentiful, high-quality, and diverse data. One obvious answer to this is sim-to-real. Read more: https://t.co/gpyaYQstrX
Waabi “We have built a solution to the data problem, a simulator that mimics reality, enabling us to be even faster in development and able to handle all the safety critical situations that are otherwise impossible to capture in the real world.” -@RaquelUrtasun on @found @TechCrunch https://t.co/EcEQ9Db8XG
