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Dynamic visual servo control of a 4-axis joint tool to track image trajectories during machining complex shapes

机译:4轴关节工具的动态视觉伺服控制,可在加工复杂形状时跟踪图像轨迹

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摘要

A large part of the new generation of computer numerical control systems has adopted an architecture based on robotic systems. This architecture improves the implementation of many manufacturing processes in terms of flexibility, efficiency, accuracy and velocity. This paper presents a 4-axis robot tool based on a joint structure whose primary use is to perform complex machining shapes in some non-contact processes. A new dynamic visual controller is proposed in order to control the 4-axis joint structure, where image information is used in the control loop to guide the robot tool in the machining task. In addition, this controller eliminates the chaotic joint behavior which appears during tracking of the quasi-repetitive trajectories required in machining processes. Moreover, this robot tool can be coupled to a manipulator robot in order to form a multi-robot platform for complex manufacturing tasks. Therefore, the robot tool could perform a machining task using a piece grasped from the workspace by a manipulator robot. This manipulator robot could be guided by using visual information given by the robot tool, thereby obtaining an intelligent multi-robot platform controlled by only one camera.
机译:新一代计算机数控系统的很大一部分已采用基于机器人系统的体系结构。该体系结构在灵活性,效率,准确性和速度方面改进了许多制造过程的实现。本文提出了一种基于关节结构的四轴机器人工具,其主要用途是在某些非接触式过程中执行复杂的加工形状。为了控制4轴关节结构,提出了一种新的动态视觉控制器,其中在控制回路中使用图像信息来指导机器人工具执行加工任务。此外,该控制器消除了在跟踪加工过程中所需的准重复轨迹过程中出现的混沌关节行为。此外,该机器人工具可以与机械手机器人耦合,以形成用于复杂制造任务的多机器人平台。因此,机器人工具可以使用由操纵机器人从工作空间抓取的工件来执行加工任务。该机械手机器人可以通过使用机器人工具提供的视觉信息进行引导,从而获得仅由一个摄像机控制的智能多机器人平台。

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