J. Vachálek, Ľubomír Čapucha, Pavol Krasňanský, F. Tóth
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引用次数: 7
摘要
本文介绍了安装在移动机器人单元上的机械臂的无碰撞操作,使用MS Windows Kinect 3D光学相机系统。3D光学系统用于识别物体,帮助移动机器人系统(MRS)的手臂对所述物体进行无碰撞操作。光学系统直接安装在机械臂上对于保证整个系统的自主性至关重要。MRS能够在三维空间中识别预先定义的物体,并使用其机械臂自动接近和操纵这些物体。本文的目的是介绍在移动机器人中使用的算法,以保证MRS与物体的无碰撞操作。我们方法的新颖之处在于先验的碰撞避免策略,而不是在碰撞发生时解决碰撞状态。除此之外,本文还介绍了物体在空间中的定位。为此,随机放置的球被MRS定位,估计它们的真实坐标。我们建议使用HSV色彩空间来评估物体坐标,而不是使用标准的RGB色彩空间,因为它在环境闪电强度变化的情况下提供更一致的结果。
Collision-free manipulation of a robotic arm using the MS Windows Kinect 3D optical system
This article presents the collision-free manipulation of a robotic arm mounted to a mobile robotic unit, using the MS Windows Kinect 3D optical camera system. The 3D optical system is used to recognize objects, aiding the collision-free manipulation of the said objects with the arm of a mobile robotic system (MRS). The placement of the optical system directly on the robotic arm is essential to ensure the autonomy of the overall system. The MRS is able to recognize pre-defined objects in three dimensional space and approach and manipulate these automatically using its robotic arm. The aim of this article is to present the algorithms used in the mobile robot to guarantee the collision-free manipulation of the MRS with objects. The novelty of our approach lies in the a priori collision avoidance strategy, instead of solving collision states as they occur. In addition to this, the article presents the localization of objects in space. For this, randomly placed balls are localized by the MRS, estimating their real coordinates. Instead of using the standard RGB colorspace, we propose to utilize the HSV colorspace to assess object coordinates, since it provides more consistent results in case the ambient lightning intensity varies.