3 accepted papers
Robotic grasping is one of the essential skills in robotics. From industrial to housework, robots are required to handle objects, enabling them to interact with their surroundings. Among the various tasks in robotic grasping, bin-picking is considered one of the most challenging because of the clutt
This letter presents a gripper comprising finger and suction with reconfigurable attributes. With the reconfiguration feature, the proposed gripper has a configuration suitable for different working environments of logistic order picking. The finger part of the gripper was configured with the parall
Random bin picking is a crucial task in logistic centers, which is driven by E-Commerce growth. In this letter, we present an end-to-end method for 6-DoF antipodal grasps from cluttered scenes. Our approach includes two main steps: finding Potential Grasp Areas (PGAs) from depth image of the bin and