{"id":31223688,"url":"https://github.com/mit-acl/revise","last_synced_at":"2025-09-21T22:54:38.774Z","repository":{"id":263879223,"uuid":"891647033","full_name":"mit-acl/REVISE","owner":"mit-acl","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-20T19:26:41.000Z","size":11641,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-11-20T19:39:53.837Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mit-acl.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}},"created_at":"2024-11-20T17:46:47.000Z","updated_at":"2024-11-20T19:26:45.000Z","dependencies_parsed_at":"2024-11-20T19:39:57.737Z","dependency_job_id":"a7302107-f949-44e6-b30a-fd9d3abe67d9","html_url":"https://github.com/mit-acl/REVISE","commit_stats":null,"previous_names":["mit-acl/revise"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mit-acl/REVISE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2FREVISE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2FREVISE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2FREVISE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2FREVISE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mit-acl","download_url":"https://codeload.github.com/mit-acl/REVISE/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2FREVISE/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":276318990,"owners_count":25621651,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-21T02:00:07.055Z","response_time":72,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2025-09-21T22:54:36.066Z","updated_at":"2025-09-21T22:54:38.756Z","avatar_url":"https://github.com/mit-acl.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field\n\n## Citation\nIf you use REVISE, please cite our paper ([pdf](https://arxiv.org/abs/2411.13369))\n```bibtex\n@misc{rose2024reviserobustprobabilisticmotion,\n      title={REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field}, \n      author={Alex Rose and Naman Aggarwal and Christopher Jewison and Jonathan P. How},\n      year={2024},\n      eprint={2411.13369},\n      archivePrefix={arXiv},\n      primaryClass={cs.RO},\n      url={https://arxiv.org/abs/2411.13369}, \n}\n```\n\n## General Setup\nREVISE has been tested with Python 3.12.7 on MacOS and on Ubuntu 20.04.\n\nInstalling dependencies (using a virtual environment is recommended):\n* `pip install -r requirements.txt`\n\nReplicating paper results:\n* `python run_quadrotor_experiment.py` to regenerate belief roadmaps for the single-query and multi-query experiments\n* `python run_monte_carlo_simulation.py` to generate random goals for the multi-query experiment and simulate closed-loop trajectories for both experiments\n* `python run_metrics_evaluation.py` to evaluate final state MSE, Wasserstein distance between the planned and actual final state distributions, and plan cost for both experiments\n* `python plot_results.py` to regenerate the plots used in the paper\n\n## Documentation and Website\nDocumentation is auto-generated based on the source code and hosted by \u003ca href=\"https://revise.readthedocs.io/en/latest/\"\u003eRead the Docs\u003c/a\u003e. Our project page is online at \u003ca href=\"https://acl.mit.edu/REVISE/\"\u003ehttps://acl.mit.edu/REVISE/\u003c/a\u003e.\n\n## Acknowledgements\nThis research was supported by the National Science Foundation Graduate Research Fellowship under grant no. 2141064 and by the Draper Scholars program.\n\n## Website License\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-sa/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by-sa/4.0/88x31.png\" /\u003e\u003c/a\u003e\u003cbr /\u003eThis work is licensed under a \u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-sa/4.0/\"\u003eCreative Commons Attribution-ShareAlike 4.0 International License\u003c/a\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-acl%2Frevise","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmit-acl%2Frevise","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-acl%2Frevise/lists"}