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Learning to Singulate Objects Using a Push Proposal Network

机译:学习使用推送建议网络分割对象

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Robot manipulation tasks such as tidying up a room or sorting piles of objects are a substantial challenge for robots, especially in scenarios with unknown objects. The objective of object singulation is to physically separate a set of cluttered objects through manipulation, a capability regarded as relevant for service robots operating in unstructured household environments. Further, the ability to separate unknown objects from surrounding objects provides great benefit for object detection, which still remains an open problem for overlapping objects. A key challenge of object singulation is the required interaction of multiple capabilities such as perception, manipulation and motion planning. Perception may fail because of occlusions from objects but also from occlusion by the manipulator itself. Manipulation actions such as grasping may also fail when attempting to manipulate objects that the perception systems fails to correctly segment. Motion planning is particularly prone to errors when applied in unknown, unstructured environments.
机译:机器人操作的任务,如整理房间或分选对象的桩是一个机器人实质性的挑战,尤其是在不明物体的场景。对象分割的目标是物理分离通过操纵一组杂乱的对象,被视为相关的非结构化家庭环境中运行的服务机器人的能力。另外,未知物体从周围物体分离的能力提供了一种用于检测物体,仍然维持对重叠的对象的一个​​公开问题大有裨益。对象分割的一个主要挑战是多种功能,例如认知,操纵和运动规划所需的相互作用。感知可能失败,因为从对象也从闭塞由机械手本身闭塞。试图操纵对象的感知系统未能正确段时,操纵动作,如抓也可能失败。当未知的,非结构化的环境中使用的运动规划是特别容易出错。

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