{"id":22064457,"url":"https://github.com/ansh-info/ur3-cobotops-clustering","last_synced_at":"2025-10-11T15:31:09.759Z","repository":{"id":246764247,"uuid":"822119739","full_name":"ansh-info/UR3-Cobotops-Clustering","owner":"ansh-info","description":"Clustering analysis of UR3 CobotOps dataset to identify patterns in robotic operations.","archived":false,"fork":false,"pushed_at":"2024-07-06T14:56:26.000Z","size":4722,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-30T19:11:34.064Z","etag":null,"topics":["dbscan","jupyter-notebook","kmeans","machine-learning","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/ansh-info.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":"2024-06-30T10:52:34.000Z","updated_at":"2024-11-30T04:50:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"37b983da-ffe4-40b9-ab5b-47885140242d","html_url":"https://github.com/ansh-info/UR3-Cobotops-Clustering","commit_stats":null,"previous_names":["ansh-info/ur3-cobotops-clustering"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ansh-info%2FUR3-Cobotops-Clustering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ansh-info%2FUR3-Cobotops-Clustering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ansh-info%2FUR3-Cobotops-Clustering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ansh-info%2FUR3-Cobotops-Clustering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ansh-info","download_url":"https://codeload.github.com/ansh-info/UR3-Cobotops-Clustering/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":236108121,"owners_count":19096084,"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":["dbscan","jupyter-notebook","kmeans","machine-learning","numpy","pandas","python"],"created_at":"2024-11-30T19:10:50.764Z","updated_at":"2025-10-11T15:31:04.187Z","avatar_url":"https://github.com/ansh-info.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# UR3 CobotOps Clustering Analysis\n\n## Overview\nThis project focuses on the clustering analysis of the UR3 CobotOps dataset. The dataset includes multidimensional time-series data from the UR3 cobot, offering insights into operational parameters and faults for machine learning in robotics and automation.\n\n## Reproducing the Analysis\nTo reproduce the analysis, follow these steps:\n\n1. Clone the repository:\n    ```sh\n    git clone https://github.com/yourusername/ur3-cobotops-clustering.git\n    cd UR3-Cobotops-Clustering\n    ```\n\n2. Install the required dependencies:\n    ```sh\n    pip install -r requirements.txt\n    ```\n\n3. Run the Jupyter notebook:\n    ```sh\n    jupyter notebook UR3 CobotOps Clustering.ipynb\n    ```\n## Dataset\nThe UR3 CobotOps dataset is a comprehensive collection of data including:\n- Electrical currents\n- Temperatures\n- Speeds across joints (J0-J5)\n- Gripper current\n- Operation cycle count\n- Protective stops\n- Grip losses\n\n**Dataset Characteristics:**\n- **Type:** Multivariate, Time-Series\n- **Instances:** 7409\n- **Features:** 20\n- **Tasks:** Classification, Regression, Clustering\n\n## Files in the Repository\n1. `Dataset`: The dataset used for the analysis.\n2. `UR3 CobotOps - UCI Machine Learning Repository.pdf`: Documentation explaining the dataset and its variables.\n3. `Fuzzy Cognitive Maps.pdf`: Scientific paper providing theoretical background on Fuzzy Cognitive Maps (FCMs) used in the analysis.\n4. `UR3 CobotOps Clustering.ipynb`: Jupyter notebook with code and visualizations for clustering analysis.\n\n## Analysis and Methodology\nThe project employs clustering techniques to analyze the UR3 CobotOps dataset. The primary methodology involves:\n1. Data Pre-processing: Handling missing values, normalizing data, and encoding categorical variables.\n2. Clustering: Applying various clustering algorithms to identify patterns and anomalies.\n3. Visualization: Creating visualizations to interpret the clustering results.\n\n### Key Visualizations\nHere are some of the key visualizations from the analysis:\n\n![Clustering Results](images/clustering_results.png)\n*Description: This visualization shows the clustering results of the UR3 CobotOps dataset using K-Means algorithm.*\n\n![Feature Importance](images/feature_importance.png)\n*Description: This plot depicts the importance of different features in determining the clusters.*\n\n## References\n- [UR3 CobotOps Dataset - UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/963/ur3+cobotops)\n- Tyrovolas, M., Liang, X. S., \u0026 Stylios, C. (2023). Information flow-based fuzzy cognitive maps with enhanced interpretability. Granular Computing, 8, 2021-2038. [DOI: 10.1007/s41066-023-00417-7](https://doi.org/10.1007/s41066-023-00417-7)\n\n## Acknowledgements\nThis work was supported by the Department of Informatics and Telecommunications, University of Ioannina, and the Industrial Systems Institute, Athena Research Center.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fansh-info%2Fur3-cobotops-clustering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fansh-info%2Fur3-cobotops-clustering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fansh-info%2Fur3-cobotops-clustering/lists"}