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A comparative analysis of adaptive visual servo control for robots manipulators in 2D

机译:2D机器人机器人自适应视觉伺服控制的比较分析

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Visual servoing is a useful approach for robot control. It is specially attractive when the control objective can be stated directly in image coordinates like in point-to-point regulation. The adaptive control is a technique very used in robot manipulators due to uncertainty in the dynamic model and when is combined with vision allows to handle uncertainty in the camera parameters. In this paper, we propose an adaptive control for a robot manipulator, which allows the displacement of the end-effector following a reference trajectory. It is assumed that the robot is planar and the camera fixed, so that the image plane is parallel to the manipulator workspace. Two well-known adaptive schemes have been simulated together with the proposed algorithm to compare the performance of the different approaches. Simulation results show the good performance of the complete system.
机译:Visual Serving是一种有用的机器人控制方法。当控制目标可以直接在图像坐标中直接在点对点调节中表示时,它是特别的吸引力。自适应控制是一种在机器人操纵器中非常使用的技术,由于动态模型中的不确定性,并且与视觉结合时允许处理相机参数中的不确定性。在本文中,我们提出了一种机器人操纵器的自适应控制,其允许在参考轨迹之后的末端执行器的位移。假设机器人是平面的,并且相机固定,使得图像平面与机械手工作空间平行。已经将两个众所周知的自适应方案与所提出的算法一起模拟,以比较不同方法的性能。仿真结果表明了完整系统的良好性能。

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