{"id":24490198,"url":"https://github.com/anshuman-02/fuzzy-vacuum-cleaner","last_synced_at":"2026-05-09T13:31:34.478Z","repository":{"id":273534231,"uuid":"920036829","full_name":"Anshuman-02/Fuzzy-Vacuum-Cleaner","owner":"Anshuman-02","description":"Python implementation of a fuzzy logic controller for a robotic vacuum cleaner","archived":false,"fork":false,"pushed_at":"2025-01-21T13:11:39.000Z","size":1361,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-15T01:30:31.868Z","etag":null,"topics":["artificialintelligence","automation","autonomoussystems","controlengineering","embeddedsystems","fuzzylogic","iot","matlab","mechatronics","opensource","python","robotics","smartdevices"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Anshuman-02.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-01-21T13:04:03.000Z","updated_at":"2025-01-21T13:14:18.000Z","dependencies_parsed_at":"2025-01-21T14:22:29.973Z","dependency_job_id":"ae82008e-a1cf-4748-818a-23bdd1f319a7","html_url":"https://github.com/Anshuman-02/Fuzzy-Vacuum-Cleaner","commit_stats":null,"previous_names":["anshuman-02/fuzzy-vacuum-cleaner"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Anshuman-02/Fuzzy-Vacuum-Cleaner","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FFuzzy-Vacuum-Cleaner","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FFuzzy-Vacuum-Cleaner/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FFuzzy-Vacuum-Cleaner/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FFuzzy-Vacuum-Cleaner/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anshuman-02","download_url":"https://codeload.github.com/Anshuman-02/Fuzzy-Vacuum-Cleaner/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FFuzzy-Vacuum-Cleaner/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32821154,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"online","status_checked_at":"2026-05-09T02:00:06.633Z","response_time":123,"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":["artificialintelligence","automation","autonomoussystems","controlengineering","embeddedsystems","fuzzylogic","iot","matlab","mechatronics","opensource","python","robotics","smartdevices"],"created_at":"2025-01-21T17:17:19.795Z","updated_at":"2026-05-09T13:31:34.455Z","avatar_url":"https://github.com/Anshuman-02.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fuzzy Logic Controller-Based Vacuum Cleaner 🌟\n\nThis repository contains the project report and MATLAB outputs for a **Fuzzy Logic Controller (FLC)** designed for a robotic vacuum cleaner. The intelligent system adapts its cleaning strategy based on environmental inputs such as dirtiness level and proximity to obstacles, demonstrating the power of fuzzy logic in automation.\n\n---\n\n## 📝 Problem Statement\n\nDevelop a Fuzzy Logic Controller for a robotic vacuum cleaner using MATLAB. The controller:\n- Dynamically adjusts cleaning speed and patterns based on real-time inputs.\n- Avoids obstacles efficiently.\n- Adapts cleaning strategies based on environmental conditions.\n- Uses fuzzy rules and membership functions for intelligent decision-making.\n\n---\n\n## 📂 Repository Structure\n\n- **`Fuzzy_PBL.docx`**: Detailed project report, including:\n  - Problem statement.\n  - Theoretical explanation of fuzzy logic.\n  - MATLAB code and outputs.\n  - Flowcharts, algorithms, and conclusions.\n- **`README.md`**: Documentation for the project.\n\n---\n\n## 📘 Report Highlights\n\n### MATLAB Code and Outputs\nThe MATLAB implementation includes:\n1. **Membership Function Editors**:\n   - Define input and output variables.\n   - Design fuzzy sets for dirtiness level, obstacle proximity, and cleaning speed.\n\n2. **Rule Viewer**:\n   - Displays fuzzy if-then rules in action.\n\n3. **Surface Viewer**:\n   - Illustrates the relationship between input variables and output decisions.\n\n4. **Fuzzy Logic Designer**:\n   - Simulates the system and evaluates fuzzy inference rules.\n\n### Outputs\n- Visualizations from MATLAB's Fuzzy Logic Toolbox, such as rule viewers, membership functions, and surface plots, are documented in the project report.\n\n### Python Code\n- The project also includes a Python implementation of the fuzzy logic system using the `scikit-fuzzy` library.\n\n---\n\n## 🌟 Features\n\n- **Dynamic Control**: Uses fuzzy logic for real-time decision-making.\n- **Obstacle Avoidance**: Intelligent navigation through obstacles.\n- **Multi-Platform**: MATLAB for simulation, Python for real-world implementation.\n- **User-Friendly Interface**: Simulates fuzzy inference and provides interpretable outputs.\n\n---\n\n## 🔧 How to Run\n\n### MATLAB Implementation\n1. Open MATLAB.\n2. Use the code provided in `Fuzzy_PBL.docx` to set up and run the fuzzy logic system.\n3. Visualize the outputs using:\n   - **Membership Function Editors**.\n   - **Rule Viewers**.\n   - **Surface Viewers**.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Ffuzzy-vacuum-cleaner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanshuman-02%2Ffuzzy-vacuum-cleaner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Ffuzzy-vacuum-cleaner/lists"}