Let's fix the world!

🤖 Robotic Grasping with Deep Learning

🚀 Author: Chuchu Xu
🛠 Technologies: Python, ROS 2, TensorFlow, PyBullet

🔍 Overview

This project implements a deep reinforcement learning-based robotic grasping system. The model is trained using the Cornell Grasp Dataset and deployed on a simulated robotic arm in PyBullet.

🎯 Features

✅ Train a YOLO-based grasp detection model using TensorFlow.
✅ Simulate robotic grasping in PyBullet/Gazebo.
✅ Real-time object pose estimation with an RGB-D camera (Intel RealSense).

📂 Project Structure