CoG Dataset

The dataset incorporates sensor noise and object variability to ensure robustness in testing and validation. The data generation process involves creating 50 unique objects using MATLAB, with each object assigned a randomly generated Center of Gravity (CoG). These objects exhibit diverse shapes, ranging from regular to irregular geometries, and weights spanning from 2 N to 50 N. The CoG positions are distributed within a range of up to 100 mm from the base of the object along the X, Y, and Z axes. This variability in shapes, weights, and CoG positions ensures a comprehensive dataset that simulates real-world scenarios and challenges, providing a solid foundation for training and evaluating the proposed ML models.