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Telemanipulation of an industrial robotic arm using gesture recognition with Kinect

机译:使用Kinect进行手势识别的工业机器人手臂的遥控操作

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Robot telemanipulation in Master-Slave mode is required for unstructured and hazardous environments as in case of high-radiation areas. The expensive master devices can be replaced by the cheaper Kinect camera and the telemanipulation can be done using gestures. The traditional motion mappings from master devices to the slave prove to be quite non-intuitive when used for gesture based telemanipulation. This paper proposes Maximum Velocity Drift Control approach for gesture based telemanipulation of an industrial robotic arm. The approach is quite intuitive for the operator and requires minimal amount of training. Since only the visual feedback is available in gesture based control, it becomes inadequate as in case of occluded views. Hence, to perform the safe telemanipulation, we have combined force-control with gesture based control for avoiding any collisions with the environment. The target tasks were Pick and Place and Liquid Handling operations which demonstrate position control and orientation control respectively. Further, various safety features are provided so as to have safe telemanipulation without any accidents.
机译:对于非结构化和危险的环境(如高辐射区域),需要在主从模式下进行机器人遥控操作。昂贵的主设备可以用便宜的Kinect摄像机代替,并且可以使用手势进行遥控。当用于基于手势的远距离操纵时,从主设备到从设备的传统运动映射被证明是非常不直观的。本文提出了一种基于姿态的工业机器人手臂远程操纵最大速度漂移控制方法。该方法对于操作员而言非常直观,并且需要最少的培训。由于在基于手势的控制中仅视觉反馈可用,因此与遮挡的视图一样,视觉反馈不足。因此,为了执行安全的遥控操作,我们将力控制与基于手势的控制相结合,以避免与环境发生任何碰撞。目标任务是拾取和放置以及液体处理操作,分别演示了位置控制和方向控制。此外,提供了各种安全功能,以便进行安全的遥控操作而不会发生任何事故。

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