monkeyrom / 3D_Object_Detection_and_Pose_Estimation_for_Automated_Bin-Picking_ApplicationLinks
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.
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