monkeyrom /3D_Object_Detection_and_Pose_Estimation_for_Automated_Bin-Picking_Application

This project presents a hybrid vision-based bin-picking system for collaborative robots. It combines deep learning (YOLOv5) for coarse object detection and classical computer vision algorithms (FAST + BRISK) for precise pose estimation. The system is implemented using the ROS and a low-cost Intel RealSense D435i depth camera.