2016
DOI: 10.1109/mra.2016.2535098
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No More Heavy Lifting: Robotic Solutions to the Container Unloading Problem

Abstract: This article discusses the scientifically and industrially important problem of automating the process of unloading goods from standard shipping containers. We outline some of the challenges barring further adoption of robotic solutions to this problem: ranging from handling a vast variety of shapes, sizes, weights, appearance and packing arrangement of the goods, through hard demands on unloading speed and reliability, to ensuring fragile goods are not damaged. We propose a modular and reconfigurable software… Show more

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Cited by 38 publications
(32 citation statements)
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“…The possibilities are manifold: Firstly, the constraints on the motion planning search space are relaxed in comparison to approaches where other objects are considered as obstacles. As in previous work [1] which uses a conventional motion planning method without sophisticated task-level planning, some scene configurations do not allow for collision-free manipulation at all. The presented method, however, works one level higher than motion planning and allows for generating manipulation strategies which facilitate the motion planning itself.…”
Section: Methods Overviewmentioning
confidence: 99%
“…The possibilities are manifold: Firstly, the constraints on the motion planning search space are relaxed in comparison to approaches where other objects are considered as obstacles. As in previous work [1] which uses a conventional motion planning method without sophisticated task-level planning, some scene configurations do not allow for collision-free manipulation at all. The presented method, however, works one level higher than motion planning and allows for generating manipulation strategies which facilitate the motion planning itself.…”
Section: Methods Overviewmentioning
confidence: 99%
“…It provides a valuable feedback about the actual generalization capability of the proposed approach which is a crucial property for applications in real world scenarios. For instance, in the field of robotic logistics [23,52] instance appearances may encounter strong variations (as they were drawn from different distributions) due to unstructured and confined spaces, clutter or even limited maneuverability or kinematic constraints of the robot platform, see Fig. 21.…”
Section: Evaluation Summarymentioning
confidence: 99%
“…The hand's 7 DoF are controlled via 7 motors that allow independent joint torque control. metrics used in grasp planners [3], [4], [5], in synthesis algorithms based on prototype grasps [6], [7], [8] as well as in grasp success prediction systems [9].…”
Section: Introductionmentioning
confidence: 99%