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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Motor algebra approach for visually guided robotics
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Motor algebra approach for visually guided robotics

机译:用于视觉引导机器人的电机代数方法

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This paper presents the formulation of the 3D kinematics in the geometric algebra framework. We show that this approach is extremely useful for solving problems in the field of visual guided robotics. In this algebraic system the 3D Euclidean motion of points, lines and planes can be advantageously represented using the algebra of motors. The computational complexity of the direct and indirect kinematics and other problems concerning robot manipulators depends on its degrees of freedom as well on its geometric characteristics. Our approach snakes possible a direct algebraic formulation of the concrete problem in such a way that it reflects the underlying geometric structure. This is achieved by switching to a description of parts of the problem based on motor representations of points, lines and planes where necessary. The first robotics task this paper deals with is the formulation and computation of closed-form solutions of the direct and indirect kinematics of standard robot manipulators and a simple example of a grasping task. The flexible method presented here is new and it widens the current standard point or line representation based approaches for the treatment of problems related to robot manipulators. The second challenging task presented in this paper is the solution of the hand-eye calibration problem when cameras are attached to robot arms. The solution of this problem in the motor algebra framework turns to be linear. Both tasks are crucial for visual guided robotics, that is why we are strongly motivated to present them to show how useful it is to apply motor algebra for solving geometric problems in visual guided robotics. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 27]
机译:本文介绍了几何代数框架中的3D运动学的制定。我们表明这种方法对于解决视野机器人领域的问题非常有用。在该代数系统中,可以有利地使用电动机的代数来表示点,线和平面的3D欧几里德运动。关于机器人操纵器的直接和间接运动学的计算复杂性以及有关机器人操纵器的其他问题在其几何特征上也取决于其自由度。我们的方法蛇可能会导致具体问题的直接代数制定,使其反映出潜在的几何结构。这是通过在必要时基于点,线条和平面的电动机表示来切换到问题的部分的描述来实现的。第一个机器人任务本文涉及标准机器人操纵器的直接和间接运动学的封闭式解决方案的配方和计算以及掌握任务的简单示例。这里呈现的灵活方法是新的,它扩大了基于目前的标准点或线表示,用于治疗与机器人操纵器相关的问题。本文提出的第二个具有挑战性的任务是当相机附在机器人臂上时,手眼校准问题的解决方案。电动机代数框架中这个问题的解决方案转向线性。这两个任务都对视觉引导的机器人来说至关重要,这就是为什么我们强烈激励他们展示他们在视觉引导机器人中解决几何问题的应用程度是如何有用的。 (c)2001年模式识别协会。 elsevier科学有限公司出版。保留所有权利。 [参考:27]

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