2018 IEEE-RAS 18th International Conference on Humanoid Robots

J. Garcia-Haro, S. Martinez, C. Balaguer
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引用次数: 2

Abstract

Humanoid robots are designed to perform tasks in the same way than humans do. One of these tasks is to act as a waiter serving drinks, food, etc. Transporting all these items can be considered a manipulation task. In this application, the objects are transported over a tray, without grasping them. The consequence is that the objects are not firmly attached to the robot, which is the case in grasping. Then, the complexity of robotics grasping is avoided but stability issues arise. The problem of keeping balance of the object transported by a robot over a tray is discussed in this paper. The approach presented is based on the computation of the Zero Moment Point (ZMP) of the object, which is modelled as a three dimensional Linear Inverted Pendulum Model (3D-LIPM). The use of force-torque sensors located at the wrist enables ZMP computation, but the main problem to be solved is how the robot should react when the object losses balance. One strategy is to rotate the tray to counteract the rotation of the object. This rotation has to be proportional to the ZMP variation and the object’s rotation angle. This issue is solved by applying the concept of three dimensional dynamic slopes. It helps to avoid kinematic problems and make balance computation independent from the angle of the tray.
2018 IEEE-RAS第18届国际人形机器人会议
人形机器人被设计成以与人类相同的方式执行任务。其中一项任务是充当服务员,提供饮料、食物等。传输所有这些项目可以被认为是一个操作任务。在这个应用程序中,对象通过托盘运输,而不需要抓住它们。结果是物体没有牢固地附着在机器人上,这就是抓取的情况。这样就避免了机器人抓取的复杂性,但也产生了稳定性问题。本文讨论了机器人搬运物体在托盘上的平衡问题。该方法基于物体零力矩点(ZMP)的计算,将其建模为三维线性倒立摆模型(3D-LIPM)。使用手腕上的力-扭矩传感器可以实现ZMP计算,但要解决的主要问题是当物体失去平衡时,机器人应该如何反应。一种策略是旋转托盘来抵消物体的旋转。这个旋转必须与ZMP的变化和物体的旋转角度成正比。应用三维动态边坡的概念解决了这一问题。它有助于避免运动学问题,使平衡计算与托盘的角度无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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