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Teleoperation of a Robot Manipulator Using a Vision-Based Human-Robot Interface

机译:使用基于视觉的人机界面进行机器人操纵器的遥操作

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Remote teleoperation of a robot manipulator by a human operator is often necessary in unstructured dynamic environments when human presence at the robot site is undesirable. Mechanical and other contacting interfaces used in teleoperation require unnatural human motions for object manipulation tasks or they may hinder human motion. Previous vision-based approaches have used only a few degrees of freedom for hand motion and have required hand motions that are unnatural for object manipulation tasks. This paper presents a noncontacting vision-based method of robot teleoperation that allows a human operator to communicate simultaneous six-degree-of-freedom motion tasks to a robot manipulator by having the operator perform the three-dimensional human hand-arm motion that would naturally be used to complete an object manipulation task. A vision-based human-robot interface is used for communication of human motion to the robot and for feedback of the robot motion and environment to the human operator. Teleoperation under operator position control was performed with high accuracy in object placement on a target. Semi-autonomous traded and shared control using robot-vision guidance aided in achieving a more accurate positioning and orientation of the end-effector for object gripping tasks.
机译:当不希望有人出现在机器人现场时,在非结构化的动态环境中,经常需要由操作员对机器人操纵器进行远程遥控操作。遥操作中使用的机械和其他接触界面需要不自然的人类动作来执行对象操作任务,否则可能会阻碍人类的动作。以前的基于视觉的方法仅对手运动使用了几个自由度,并且要求对对象操作任务不自然的手运动。本文提出了一种基于非接触式视觉的机器人远程操作方法,该方法允许操作员通过使操作员执行自然会产生的三维人手臂运动来将同时的六自由度运动任务传达给机器人操纵器用于完成对象操作任务。基于视觉的人机界面用于将人的运动传达给机器人,并向人的操作员反馈机器人的运动和环境。在操作员位置控制下的遥距操作在目标上的对象放置中具有很高的精度。使用机器人视觉引导的半自主交易和共享控制有助于实现末端执行器的更精确的定位和定向,以完成物体抓取任务。

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