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Object Detection and Gesture Control of Four-Wheel Mobile Robot

机译:四轮移动机器人的目标检测与手势控制

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In this paper, the development of a four wheel mobile robot with gesture-controlled robot arm manipulator system is presented. The accelerometer and wifi based gesture control model is used to manipulate the motion of its arm with human hand. The glove data is used to control the movement of the robot arm for pick and place operation. The object detection algorithm is also implemented to detect the object autonomously. An ultrasonic sensor is used to detect the upcoming object. Under this work, only single object is considered. The prototype model of four-wheel mobile robot with two movable arms is developed. The proposed object detection algorithm is implemented on the physical model to check the effectiveness of the algorithm. After object detection operation, the gesture control based controller is used for pick and place activity. The novelty of this research is collaborative use of object detection algorithm and gesture control scheme.
机译:本文提出了一种带有姿态控制机器人手臂机械手系统的四轮移动机器人的开发。基于加速度计和wifi的手势控制模型用于用人的手操纵其手臂的运动。手套数据用于控制机器人手臂的移动,以进行拾取和放置操作。还实现了对象检测算法以自主检测对象。超声波传感器用于检测即将到来的物体。在这项工作下,仅考虑单个对象。开发了具有两个可动臂的四轮移动机器人的原型模型。提出的目标检测算法在物理模型上实现,以验证算法的有效性。在对象检测操作之后,基于手势控制的控制器将用于拾取和放置活动。这项研究的新颖之处在于对象检测算法和手势控制方案的协同使用。

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