A team of researchers from NVIDIA, ETH Zurich, and the University of Toronto have open-sourced Orbit, a simulation-based robot learning framework. Orbit includes wrappers for four learning libraries, a suite of benchmark tasks, and simulation for several robot platforms, as well as interfaces for deploying trained agents on physical robots. It is built on NVIDIA’s Isaac Sim simulation platform, which provides tools for designing environments along with an engine for photorealistic rendering and physics simulation. Out of the box, Orbit includes pre-built simulation environments for nearly two dozen learning tasks, such as stacking blocks or folding a cloth, and supports several learning paradigms, including reinforcement learning (RL) and imitation learning.
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