
RoboCasa for simulated household manipulation
Study manipulation tasks in simulated kitchens with varied scenes and objects.
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Study manipulation tasks in simulated kitchens with varied scenes and objects.

Train and evaluate manipulation policies in simulated tasks with visual and state observations.

Train and evaluate agents using established PyTorch implementations.

Define and interact with environments through a shared reset and step interface.

Model articulated systems, contacts and actuators in a physics simulation.

Configure simulated robotics tasks for reinforcement or imitation learning.
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