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Visual servoing by path planning

机译:通过路径规划进行视觉伺服

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Since image-based visual servoing is a local feedback control solution, it requires the definition of intermediate subgoals in the sensor space at the task planning level. In this paper, we describe a general technique for specifying and tracking trajectories of an unknown object in the camera image space. First, physically valid C image trajectories which correspond to quasi-optimal 3D camera trajectory (approaching as much as possible a straight line) are performed. Both mechanical (joint limits) and visibility constraints are taken into account at the task planning level. The good behavior of Image-based control when desired and current camera positions are closed is then exploited to design an efficient control scheme. Real time experimental results using a camera mounted on the end effector of a six d-o-f robot confirm the validity of our approach.
机译:由于基于图像的视觉伺服是一种本地反馈控制解决方案,因此它需要在任务计划级别定义传感器空间中的中间子目标。在本文中,我们描述了一种用于指定和跟踪摄像机图像空间中未知物体轨迹的通用技术。首先,执行与准最佳3D相机轨迹相对应的物理有效C图像轨迹(尽可能接近直线)。在任务计划级别同时考虑了机械(联合限制)和可见性约束。然后,当期望的和当前的摄像机位置关闭时,基于图像的控制的良好行为将被用来设计一种有效的控制方案。使用安装在六个d-o-f机器人末端执行器上的摄像机进行的实时实验结果证实了我们方法的有效性。

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