simpler-env/SimplerEnv
Simulated environments for evaluating robot manipulation policies like RT-1, RT-1-X, and Octo in physical simulators.
Not currently ranked — collecting fresh signals.
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SimplerEnv provides simulated evaluation environments for generalist robot manipulation policies, enabling scalable and reproducible benchmarking. It adapts real-world robot setups (Google Robot, WidowX+Bridge) into simulation using SAPIEN and ManiSkill2/3, supporting GPU-parallelized evaluation that runs 10-15x faster than CPU versions. The framework offers Visual Matching evaluation (overlaying real images on simulation) and Variant Aggregation (testing across environment variations) to assess policy robustness before real-world deployment.
Frequently asked
- What is simpler-env/SimplerEnv?
- Simulated environments for evaluating robot manipulation policies like RT-1, RT-1-X, and Octo in physical simulators.
- Is SimplerEnv open source?
- Yes — simpler-env/SimplerEnv is open source, released under the MIT license.
- What language is SimplerEnv written in?
- simpler-env/SimplerEnv is primarily written in Jupyter Notebook.
- How popular is SimplerEnv?
- simpler-env/SimplerEnv has 1.1k stars on GitHub.
- Where can I find SimplerEnv?
- simpler-env/SimplerEnv is on GitHub at https://github.com/simpler-env/SimplerEnv.