Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Test and reproduce robot manipulation strategies in a simulated environment for better evaluation.
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Free · no card · unsubscribe anytimeEvaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
SimplerEnv has 1.1k stars on GitHub. It has been forked 194 times. SimplerEnv is written mainly in Jupyter Notebook. It has been in active development since 2024. SimplerEnv is available under the MIT license. Its main topics are computer-vision, embodied-ai, real2sim, reinforcement-learning.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
SimplerEnv is an open-source project. It is released under the MIT license.
Yes. SimplerEnv is free and open source — you can use, modify and self-host it.
SimplerEnv is available under the MIT license.
SimplerEnv is written mainly in Jupyter Notebook.
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