{"id":44912167,"url":"https://github.com/robocasa/robocasa","last_synced_at":"2026-02-18T00:30:11.982Z","repository":{"id":240838361,"uuid":"799171422","full_name":"robocasa/robocasa","owner":"robocasa","description":"RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots","archived":false,"fork":false,"pushed_at":"2025-12-18T16:27:52.000Z","size":21277,"stargazers_count":1043,"open_issues_count":49,"forks_count":127,"subscribers_count":12,"default_branch":"main","last_synced_at":"2025-12-21T20:28:13.208Z","etag":null,"topics":["humanoid-robot","physics-simulation","robot-learning","robotics"],"latest_commit_sha":null,"homepage":"https://robocasa.ai/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/robocasa.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-05-11T11:14:03.000Z","updated_at":"2025-12-18T16:27:57.000Z","dependencies_parsed_at":"2025-04-16T19:57:43.566Z","dependency_job_id":"4489e32b-ac3f-4e2d-b71f-8923a6349696","html_url":"https://github.com/robocasa/robocasa","commit_stats":null,"previous_names":["robocasa/robocasa"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/robocasa/robocasa","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robocasa%2Frobocasa","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robocasa%2Frobocasa/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robocasa%2Frobocasa/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robocasa%2Frobocasa/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/robocasa","download_url":"https://codeload.github.com/robocasa/robocasa/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robocasa%2Frobocasa/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29563467,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-17T21:50:49.831Z","status":"ssl_error","status_checked_at":"2026-02-17T21:46:15.313Z","response_time":100,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["humanoid-robot","physics-simulation","robot-learning","robotics"],"created_at":"2026-02-18T00:30:11.437Z","updated_at":"2026-02-18T00:30:11.972Z","avatar_url":"https://github.com/robocasa.png","language":"Python","readme":"# RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots\n\u003c!-- ![alt text](https://github.com/UT-Austin-RPL/maple/blob/web/src/overview.png) --\u003e\n\u003cimg src=\"docs/images/robocasa-banner.jpg\" width=\"100%\" /\u003e\n\nThis is the official codebase of RoboCasa, a large-scale simulation framework for training generally capable robots to perform everyday tasks. This guide contains information about installation and setup. Please refer to the following resources for additional information:\n\n[**[Home page]**](https://robocasa.ai) \u0026ensp; [**[Documentation]**](https://robocasa.ai/docs/introduction/overview.html) \u0026ensp; [**[Paper]**](https://robocasa.ai/assets/robocasa_rss24.pdf)\n\n-------\n## Latest updates\n* [10/31/2024] **v0.2**: using RoboSuite `v1.5` as the backend, with improved support for custom robot composition, composite controllers, more teleoperation devices, photo-realistic rendering.\n\n-------\n## Installation\nRoboCasa works across all major computing platforms. The easiest way to set up is through the [Anaconda](https://www.anaconda.com/) package management system. Follow the instructions below to install:\n1. Set up conda environment:\n\n   ```sh\n   conda create -c conda-forge -n robocasa python=3.10\n   ```\n2. Activate conda environment:\n   ```sh\n   conda activate robocasa\n   ```\n3. Clone and setup robosuite dependency (**important: use the master branch!**):\n\n   ```sh\n   git clone https://github.com/ARISE-Initiative/robosuite\n   cd robosuite\n   pip install -e .\n   ```\n4. Clone and setup this repo:\n\n   ```sh\n   cd ..\n   git clone https://github.com/robocasa/robocasa\n   cd robocasa\n   pip install -e .\n   pip install pre-commit; pre-commit install           # Optional: set up code formatter.\n\n   (optional: if running into issues with numba/numpy, run: conda install -c numba numba=0.56.4 -y)\n   ```\n5. Install the package and download assets:\n   ```sh\n   python robocasa/scripts/download_kitchen_assets.py   # Caution: Assets to be downloaded are around 5GB.\n   python robocasa/scripts/setup_macros.py              # Set up system variables.\n   ```\n\n-------\n## Quick start\n**(Mac users: for these scripts, prepend the \"python\" command with \"mj\": `mjpython ...`)**\n\n### Explore kitchen layouts and styles\nExplore kitchen layouts (G-shaped, U-shaped, etc) and kitchen styles (mediterranean, industrial, etc):\n```\npython -m robocasa.demos.demo_kitchen_scenes\n```\n\n### Play back sample demonstrations of tasks\nSelect a task and play back a sample demonstration for the selected task:\n```\npython -m robocasa.demos.demo_tasks\n```\n\n### Explore library of 2500+ objects\nView and interact with both human-designed and AI-generated objects:\n```\npython -m robocasa.demos.demo_objects\n```\nNote: by default this demo shows objaverse objects. To view AI-generated objects, add the flag `--obj_types aigen`.\n\n### Teleoperate the robot\nControl the robot directly, either through a keyboard controller or spacemouse. This script renders the robot semi-translucent in order to minimize occlusions and enable better visibility.\n```\npython -m robocasa.demos.demo_teleop\n```\nNote: If using spacemouse: you may need to modify the product ID to your appropriate model, setting `SPACEMOUSE_PRODUCT_ID` in `robocasa/macros_private.py`.\n\n-------\n## Tasks, datasets, policy learning, and additional use cases\nPlease refer to the [documentation page](https://robocasa.ai/docs/introduction/overview.html) for information about tasks and assets, downloading datasets, policy learning, API docs, and more.\n\n-------\n## License\nCode: [MIT License](https://opensource.org/license/mit)\n\nAssets and Datasets: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en)\n\n-------\n## Citation\n```bibtex\n@inproceedings{robocasa2024,\n  title={RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots},\n  author={Soroush Nasiriany and Abhiram Maddukuri and Lance Zhang and Adeet Parikh and Aaron Lo and Abhishek Joshi and Ajay Mandlekar and Yuke Zhu},\n  booktitle={Robotics: Science and Systems},\n  year={2024}\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobocasa%2Frobocasa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobocasa%2Frobocasa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobocasa%2Frobocasa/lists"}