… image completion and masking based on extensive experiments. Furthermore, we implement
a deep learning based robotic bin picking … randomly filed multiple industrial parts in a bin. …

… However, feature extraction for goal image matching is … goal images is impractical at a
warehouse. In this paper, we propose a novel depth image–based vision-guided robot bin-picking …

… In this paper, an image-guided depth map completion method is proposed to improve the
algorithm's adaptability to noise and incomplete point cloud scenes. Furthermore, this paper …

… , followed by a picking process using a robot manipulator. Thus, … robotic gripping system.
In addition, we also investigate the following problems associated with the random bin picking …

… -Pick, for fast and accurate object recognition and localization in industrial robotic bin picking.
… First, we propose to adapt the picture of a real scene as the background of the virtual bin. …

… Compared to existing bin-picking related datasets [1], [3], [11], [12], our dataset has unique
… 30 individual bin instances. We use a robot arm to capture monochrome images and depth …

… In this paper, we demonstrate bin picking with an anthropomorphic mobile robot. To this
end… Objects are detected in range images using a shape primitivebased approach. Our …

… objects in images and point clouds, such methods do not exploit properties of man-made
objects that are often encountered in industrial and service robotics applications. Typically, man…

… Nevertheless, after integrating it into a robotic bin picking system, we found that it cannot …
will likely result in the robot picking an occluded object in the bin. Picking an occluded object …

… Therefore, we leveraged the high repeatability of our robot arm and captured the test and
ground truth images with two separate scans. In the first scan, we applied the scanning spray …