Machine vision-based grasp detection and grasping system for complex environments
This study proposes an integrated machine-vision framework for robotic grasp detection and execution in complex environments. CenterNet is used to locate target objects, while a coordinated grasp-frame branch estimates feasible 2D grasp poses. Camera calibration and hand-eye calibration convert image-space predictions...