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Found 6 papers, 1 papers with code
Towards Packaging Unit Detection for Automated Palletizing Tasks
For various automated palletizing tasks, the detection of packaging units is a crucial step preceding the actual handling of the packaging units by an industrial robot.
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
This paper introduces a novel approach for the grasping and precise placement of various known rigid objects using multiple grippers within highly cluttered scenes.
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation
Single shot approaches have demonstrated tremendous success on various computer vision tasks.
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
In this paper, we introduce a novel learning-based approach for grasping known rigid objects in highly cluttered scenes and precisely placing them based on depth images.
Single Shot 6D Object Pose Estimation
In this paper, we introduce a novel single shot approach for 6D object pose estimation of rigid objects based on depth images.
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
In this paper, we introduce a new public dataset for 6D object pose estimation and instance segmentation for industrial bin-picking.
