📂 Repository Overview This repository contains the dataset and supplementary materials used in the article "Smart Robotics: Machine Learning-Based Load Estimation for 3-Axis Manipulators", which explores a CNN-based classification approach for analyzing manipulator motion under varying load conditions. The dataset includes raw and preprocessed motion data, feature-engineered representations, and metadata necessary for reproducing the experiments described in the paper.
📑 Contents 📁 Raw Data/ – Collected sensor data from the manipulator's movements. 📁 Preprocessed Data/ – Normalized and filtered data used for model training. \ 📁 Feature Set/ – Extracted features utilized in the CNN-based classification approach. 📁 Scripts/ – Python scripts for data preprocessing, feature extraction, and model evaluation. 📄 README.md – Instructions for using the dataset and reproducing the experiments. 📊 Dataset Description The dataset consists of measurements related to the manipulator's position, applied forces, motor torque, acceleration, and efficiency. The collected data was used to train and evaluate a convolutional neural network (CNN) for classifying manipulator behaviors under different operating conditions.
🚀 Usage & Reproducibility To use this dataset:
Clone the repository: bash Copy Edit git clone https://github.com/yourusername/repository-name.git Follow the instructions in the README.md file to preprocess the data and run the models. 📜 Citation If you use this dataset in your research or projects, please cite the original article: [Insert Article Citation Here]