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Depth Image-Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking.

, , , , , , and . Sensors, 20 (3): 706 (2020)

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Depth Image-Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking., , , , , , and . Sensors, 20 (3): 706 (2020)Learning suction graspability considering grasp quality and robot reachability for bin-picking., , , , , , , , , and . CoRR, (2021)Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking., , , , , , , , , and . Frontiers Neurorobotics, (2022)Multiple-object Grasping Using a Multiple-suction-cup Vacuum Gripper in Cluttered Scenes., , , and . CoRR, (2023)Applying the MVC EA-IRPM to reporting-guidelines in medicine: A strategy that is a web system., , , , , and . BHI, page 97-100. IEEE, (2017)A Systematization of the Unscented Kalman Filter Theory., , , and . IEEE Trans. Automat. Contr., 60 (10): 2583-2598 (2015)Robust kinematic control of manipulator robots using dual quaternion representation., , , and . ICRA, page 1949-1955. IEEE, (2013)Hybrid data fusion for 3D localization under heavy disturbances., , and . IROS, page 2425-2430. IEEE, (2010)Robust H∞ kinematic control of manipulator robots using dual quaternion algebra., , and . Autom., (2021)Scaled Minimum Unscented Multiple Hypotheses Mixing Filter., , , and . ACC, page 2460-2465. IEEE, (2013)