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Push-Grasping with Dexterous Hands: Mechanics and a Method

机译:用灵巧的手进行推式抓握:力学和方法

摘要

We add to a manipulatoru27s capabilities a new primitive motion which we term a push-grasp. While significant progress has been made in robotic grasping of objects and geometric path planning for manipulation, such work treats the world and the object being grasped as immovable, often declaring failure when simple motions of the object could produce success. We analyze the mechanics of push-grasping and present a quasi-static tool that can be used both for analysis and simulation. We utilize this analysis to derive a fast, feasible motion planning algorithm that produces stable pushgrasp plans for dexterous hands in the presence of object pose uncertainty and high clutter. We demonstrate our algorithm extensively in simulation and on HERB, a personal robotics platform developed at Intel Labs Pittsburgh.
机译:我们在操纵器功能中添加了一种新的原始运动,我们称之为“推动抓紧”。尽管在机器人抓取物体和进行几何路径规划以进行操纵方面已经取得了显着进展,但这种工作将整个世界和被抓取的物体视为不可移动的,当物体的简单运动可以产生成功时,通常会宣布失败。我们分析了推抓的机制,并提出了一种可用于分析和仿真的准静态工具。我们利用这一分析得出一种快速,可行的运动计划算法,该算法可在存在物体姿势不确定性和高度混乱的情况下为灵巧的手产生稳定的推抓力计划。我们在仿真中以及在匹兹堡英特尔实验室开发的个人机器人平台HERB上广泛演示了我们的算法。

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