{"id":28530482,"url":"https://github.com/wwwshwww/task_on_nav_env","last_synced_at":"2026-04-25T22:31:52.665Z","repository":{"id":225539603,"uuid":"338715964","full_name":"wwwshwww/task_on_nav_env","owner":"wwwshwww","description":"robo-gym environment of locomotion task using NavStack in randomized indoor simulation space","archived":false,"fork":false,"pushed_at":"2021-08-01T14:24:36.000Z","size":2086,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-07T08:43:23.755Z","etag":null,"topics":["navigation-stack","openai-gym","reinforcement-learning-environments","robo-gym","robotics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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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":["navigation-stack","openai-gym","reinforcement-learning-environments","robo-gym","robotics"],"created_at":"2025-06-09T14:30:45.113Z","updated_at":"2026-04-25T22:31:52.660Z","avatar_url":"https://github.com/wwwshwww.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# task_on_nav_env\n\n## Installation\n\n### Docker\n\nThis Environment side can use from docker image below.   \n`moyash/robo-gym-env-jupyter:cuberoom`\n\nUsage:\n\n```bash\ndocker run --gpus all --user=root -p 8888:8888 moyash/robo-gym-env-jupyter:cuberoom jupyter lab --allow-root --LabApp.token='' --ip='0.0.0.0'\n```\n\nYou can use this environment with jupyter lab by open http://localhost:8888 on your browser.\n\n### Manually\n\n```bash\ngit clone https://github.com/jr-robotics/robo-gym.git\ngit clone https://github.com/wwwshwww/task_on_nav_env.git\npip install -e ./robo-gym\ncp -r task_on_nav_env/mir_nav robo-gym/robo_gym/envs/\ncat task_on_nav_env/env_registration1 \u003e\u003e robo-gym/robo_gym/__init__.py\ncat task_on_nav_env/env_registration2 \u003e\u003e robo-gym/robo_gym/envs/__init__.py\n```\n\nIf using a slower machine, run below as well.\nHave to change path that will be placed to paste to appropriate place of `robo_gym_sever_modules` installed.\n\n```bash\n# may be unnecessary\ncp task_on_nav_env/server_modules/robot_server/* /usr/local/lib/python3.6/dist-packages/robo_gym_server_modules/robot_server/\ncp task_on_nav_env/server_modules/server_manager/* /usr/local/lib/python3.6/dist-packages/robo_gym_server_modules/server_manager/\n```\n\n## Details\n\nWrite you later.\n\ntest code ↓\n\n```python\nimport gym\nimport robo_gym\nfrom robo_gym.wrappers.exception_handling import ExceptionHandling\nimport numpy as np\n\nenv_id = 'CubeRoomSearchLikeContinuously-v0'\n# env_id = 'NoObstacleNavigationMir100Sim-v0'\n# target_ip = '10.244.2.247'\ntarget_ip = 'robot-server'\n\n# initialize environment\nenv = gym.make(env_id, ip=target_ip, gui=True)\nenv = ExceptionHandling(env)\n\nstate = env.reset(new_room=True, new_agent_pose=True)\n```\n\n### Robot Server Side\n\nhttps://github.com/wwwshwww/task_on_nav_robot_server\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwwwshwww%2Ftask_on_nav_env","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwwwshwww%2Ftask_on_nav_env","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwwwshwww%2Ftask_on_nav_env/lists"}