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Isaac Gym Environments for Legged Robots

This repository provides the environment used to train ANYmal (and other robots) to walk on rough terrain using NVIDIA's Isaac Gym. It includes all components needed for sim-to-real transfer: actuator network, friction & mass randomization, noisy observations and random pushes during training.

Maintainer: Nikita Rudin
Affiliation: Robotic Systems Lab, ETH Zurich
Contact: [email protected]


Stand Manipulation

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