Gaussian Splatting for Synthetic Dataset Generation in Robotics

This research explores the application of Gaussian splatting for generating synthetic datasets specifically tailored to computer vision tasks in robotics. The use of this technique promises to improve data augmentation, address the challenge of acquiring real-world data, and enhance the performance of robotic systems.

• •Gaussian Splatting is utilized to create synthetic data.
• •The research focuses on generating datasets for robotic environments.
• •This method aims to improve computer vision model training.