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Stable Bin Packing of Non-convex 3D Objects with a Robot Manipulator

机译:使用机器人操纵器稳定地包装非凸3D对象

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摘要

Recent progress in the field of robotic manipulation has generated interest in fully automatic object packing in warehouses. This paper proposes a formulation of the packing problem that is tailored to the automated warehousing domain. Besides minimizing waste space inside a container, the problem requires stability of the object pile during packing and the feasibility of the robot motion executing the placement plans. To address this problem, a set of constraints are formulated, and a constructive packing pipeline is proposed to solve these constraints. The pipeline is able to pack geometrically complex, non-convex objects while satisfying stability and robot packability constraints. In particular, a new 3D positioning heuristic called Heightmap-Minimization heuristic is proposed, and heightmaps are used to speed up the search. Experimental evaluation of the method is conducted with a realistic physical simulator on a dataset of scanned real-world items, demonstrating stable and high-quality packing plans compared with other 3D packing methods.
机译:机器人操纵领域的最新进展引起了人们对仓库中全自动物品包装的兴趣。本文提出了针对自动仓储领域的包装问题的表述。除了最小化容器内部的浪费空间外,该问题还需要包装过程中对象堆的稳定性以及执行放置计划的机器人运动的可行性。为了解决这个问题,提出了一组约束条件,并提出了一条建设性的包装管道来解决这些约束条件。管线能够包装几何形状复杂的非凸对象,同时满足稳定性和机械手可包装性约束。特别是,提出了一种新的3D定位启发式算法,称为“高度图-最小化启发式”,高度图用于加快搜索速度。该方法的实验评估是使用现实的物理模拟器对扫描的真实物品的数据集进行的,与其他3D包装方法相比,该方法证明了稳定且高质量的包装计划。

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