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Trajectory generation for a robotic in a robocup test scenery using Kalman filter and B-spline curves

机译:使用卡尔曼滤波器和B样条曲线在机器人机器人测试场景中为机器人生成轨迹

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摘要

In this paper is presented the design of a tracking and trayectory generation robotic system in a testing environment Robocup (small size category) by the prediction of movements using Kalman filters and the optimal trajectory generation by implementing B-spline curves. In the different results obtained it was found that the Kalman filter facilitates the prediction of robotic agents with small processing times and curves B-splines by optimizing the control points allowed to generate smooth curves for obstacle avoidance.
机译:本文介绍了在测试环境Robocup(小尺寸类别)中通过使用Kalman滤波器预测运动和通过实现B样条曲线来优化轨迹生成的跟踪和托盘生成机器人系统的设计。在获得的不同结果中,发现卡尔曼滤波器通过优化允许生成平滑曲线以避开障碍物的控制点,有助于以较短的处理时间和曲线B样条线预测机器人代理。

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