Narrowing the Sim2Real Gap with NVIDIA Isaac Sim
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280 дней – 53 0462:08Опубликовано 23 марта 2022, 16:58
Training and developing intelligent robots in simulation to be successfully deployed in the real world is challenging.
The robot’s interactions and senses in the virtual world should be indistinguishable from reality.
With NVIDIA Isaac Sim (developer.nvidia.com/isaac-sim... developers and researchers around the world are able to train and optimize AI robots for a breadth of tasks.
In this demo, we showcase three incredible and very different robots developed in simulation and proven in the real world:
1) Obelix, an Autonomous Mobile Robot (AMR) by Fraunhofer IML
2) At Festo, a collaborative robot (“cobot”) for industrial automation, and
3) Anymal a robot dog trained by ETH Zurich and Swiss-Mile.
The robot’s interactions and senses in the virtual world should be indistinguishable from reality.
With NVIDIA Isaac Sim (developer.nvidia.com/isaac-sim... developers and researchers around the world are able to train and optimize AI robots for a breadth of tasks.
In this demo, we showcase three incredible and very different robots developed in simulation and proven in the real world:
1) Obelix, an Autonomous Mobile Robot (AMR) by Fraunhofer IML
2) At Festo, a collaborative robot (“cobot”) for industrial automation, and
3) Anymal a robot dog trained by ETH Zurich and Swiss-Mile.
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