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Telemanipulation of an Industrial Robotic Arm using Gesture Recognition with Kinect

机译:使用姿态识别与Kinect的工业机器人手臂的Telemanipulation

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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:在高辐射区域的情况下,非结构化和危险环境需要主从模式的机器人Telemanipulation。昂贵的主设备可以由更便宜的Kinect摄像头代替,并且可以使用手势来完成Telemanipulation。当用于基于手势的Telemanipulation时,从掌握到奴隶的传统运动映射被证明是非常不直观的。本文提出了基于手势的最大速度漂移控制方法,其工业机器人臂的手势。该方法对操作员非常直观,需要最少的培训。由于只有基于手势的控制中可用视觉反馈,因此在遮挡视图中,它变得不足。因此,为了执行安全的Telemanipulation,我们将力量控制与基于手势的控制,以避免与环境发生任何冲突。目标任务是挑选和液体处理操作,分别展示位置控制和定向控制。此外,提供了各种安全特征,以便在没有任何事故的情况下具有安全的Telemanipulation。

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