Abstract
New study results on robotics have been published. According to news originating from Gaithersburg, Maryland, by NewsRx correspondents, research stated, “In robotic bin-picking applications, autonomous robot action is guided by a perception system integrated with the robot.” The news editors obtained a quote from the research from National Institute of Standards and Technology: “Unfortunately, many perception systems output data contaminated by spurious points that have no correspondence to the real physical objects. Such spurious points in 3D data are the outliers that may spoil obstacle avoidance planning executed by the robot controller and impede the segmentation of individual parts in the bin. Thus, they need to be removed. Many outlier removal procedures have been proposed that work very well on unorganized 3D point clouds acquired for different, mostly outdoor, scenarios, but these usually do not transfer well to the manufacturing domain. This paper presents a new filtering technique specifically designed to deal with the organized 3D point cloud acquired from a cluttered scene, which is typical for a bin-picking task.”
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