{"id":16272297,"url":"https://github.com/perinim/multi-agents-haed","last_synced_at":"2025-09-06T12:32:16.088Z","repository":{"id":174736038,"uuid":"623981248","full_name":"PeriniM/Multi-Agents-HAED","owner":"PeriniM","description":null,"archived":false,"fork":false,"pushed_at":"2023-12-11T15:18:08.000Z","size":5875,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-18T01:06:58.066Z","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/PeriniM.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":"2023-04-05T13:48:56.000Z","updated_at":"2024-09-01T19:28:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"c988de37-b07e-4a30-8112-b6ea75ed76d5","html_url":"https://github.com/PeriniM/Multi-Agents-HAED","commit_stats":null,"previous_names":["perinim/distributed-system-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PeriniM%2FMulti-Agents-HAED","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PeriniM%2FMulti-Agents-HAED/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PeriniM%2FMulti-Agents-HAED/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PeriniM%2FMulti-Agents-HAED/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PeriniM","download_url":"https://codeload.github.com/PeriniM/Multi-Agents-HAED/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":232015518,"owners_count":18460652,"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","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":"2024-10-10T18:17:12.249Z","updated_at":"2025-01-01T20:17:39.102Z","avatar_url":"https://github.com/PeriniM.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-Agent Hybrid Approach for Environment Discovery\n ![alt text](videos/noObstacles_20230908-053343.gif)\n## Introduction\nThis project focuses on simulating a multi-agent system to perform environment mapping. Agents, equipped with sensors, explore and record their surroundings, considering uncertainties in their readings. \n\n## Installation\n\n### Requirements\n- [Python 3.8+](https://www.python.org/downloads/)\n\n### Installation Guide\n#### Ubuntu 20.04\n```bash\ngit clone https://github.com/PeriniM/Multi-Agents-HAED.git\ncd distributed-system-project\npython -m venv env\nsource env/bin/activate\npip install -r requirements.txt\n```\n#### Windows\n```bash\ngit clone https://github.com/PeriniM/Multi-Agents-HAED.git\ncd distributed-system-project\npython -m venv env\n./env/Scripts/activate\npip install -r requirements.txt\n```\n## [Documentation](https://perinim.github.io/Multi-Agents-HAED/)\n\n## Project Structure\n- 📄[main.py](main.py)\n- 📂[Classes](Classes)\n    - 📄[Agent.py](Classes/Agent.py)\n    - 📄[EKF.py](Classes/EKF.py)\n    - 📄[Environment.py](Classes/Environment.py)\n    - 📄[RobotAssigner.py](Classes/RobotAssigner.py)\n    - 📄[Sensors.py](Classes/Sensors.py)\n    - 📄[Shapes.py](Classes/Shapes.py)\n    - 📄[VoronoiHandler.py](Classes/VoronoiHandler.py)\n\n## Usage\n- Set the voronoi points and number of agents in the main.py file\n- Run the main.py file\n\n## Related Works\n- Ahmed et al. delve deep into the intricacies of the K-Means clustering algorithm, providing a comprehensive survey and evaluation of its performance in their paper [The K-Means Algorithm](https://www.mdpi.com/2079-9292/9/8/1295).\n\n- The challenges and solutions for the traveling salesman problem (TSP) have been extensively documented, most notably by Jünger et al. in [The traveling salesman problem](https://www.sciencedirect.com/science/article/pii/S0927050705801215).\n\n- A meticulous [comparison of various algorithms](https://www.researchgate.net/profile/Haider-Abdulkarim/publication/280597707_Comparison_of_Algorithms_for_Solving_Traveling_Salesman_Problem/links/55bcab9808ae9289a0968a31/Comparison-of-Algorithms-for-Solving-Traveling-Salesman-Problem.pdf) geared toward solving the TSP sheds light on the complexities of the problem.\n\n- The integration of LIDAR in robot navigation is an emerging field, exemplified by research on [LIDAR-based robot navigation](https://ieeexplore.ieee.org/document/8407319).\n\n- An all-encompassing overview of various strategies for autonomous mobile robot path planning can be found in [Autonomous Mobile Robot Path Planning Algorithms](https://ieeexplore.ieee.org/abstract/document/4339335).\n\n## License\n[MIT](https://choosealicense.com/licenses/mit/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fperinim%2Fmulti-agents-haed","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fperinim%2Fmulti-agents-haed","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fperinim%2Fmulti-agents-haed/lists"}