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Physical-consistent behavior embodied in B-spline curves for robot path planning

机译:用于机器人路径规划的B样条曲线中体现的物理一致行为

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In this paper, a path planning algorithm for smooth obstacle avoidance of mobile robots is presented and discussed. The idea is based on B-splines, which are trajectories defined by a linear combination of basis functions weighted by constants called control points. Since the overall curve depends locally only on the position of a limited set of control points, B-splines are ideal tools for generating online reference trajectories able to react to local changes of the environment (e.g. mobile or spawning obstacles). The via-points of the reference B-spline are treated as dynamic agents with customized dynamic properties. These agents interact with each other and with the environment in such a way to generate the correct reference for the B-spline generator and thus for the robot. The high flexibility and the low computational burden of the proposed algorithm allow to develop applications in partially unknown or dynamically changing environments since a local modification of the trajectory does not require an entire re-computation. Experimental results performed with a KUKA Youboot mobile robot within a ROS based set-up are reported.
机译:本文提出和讨论了一种用于平稳障碍物避免移动机器人的路径规划算法。该想法基于B样条曲线,其是由由称为控制点的常量加权的基础函数的线性组合定义的轨迹。由于整体曲线仅在本地取决于有限的控制点集合的位置,因此B样条是用于生成能够对环境变化反应的在线参考轨迹的理想工具(例如,移动或产卵障碍物)。参考B样条键的孔点被视为具有定制动态性质的动态剂。这些代理彼此相互作用,并以这种方式与环境相互作用以产生B样条发电机的正确参考,从而为机器人产生正确的参考。所提出的算法的高灵活性和低计算负担允许在部分未知或动态变化的环境中开发应用,因为轨迹的本地修改不需要整个重新计算。报告了在基于ROS的设置内使用Kuka Youboot移动机器人进行的实验结果。

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