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Guidance-Based On-Line Robot Motion Planning for the Interception of Mobile Targets in Dynamic Environments

机译:在动态环境中拦截目标的基于制导的在线机器人运动计划

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摘要

This paper presents a novel method for the interception of moving targets in the presence of obstacles. The proposed method provides simultaneous positional interception and velocity matching of the target moving in a dynamic environment with static and/or mobile obstacles. An acceleration command for the autonomous robot (i.e., interceptor) is first obtained from a rendezvous-guidance technique that takes into account the kinematic and dynamic limitations of the interceptor, but not the motion of the obstacles. This command is subsequently augmented, though only when necessary, in order to avoid those obstacles that are about to interfere with the time-optimal motion of the interceptor. The augmenter acceleration command is obtained in our work through a modified cell-decomposition method. Extensive simulation and experimental results have clearly demonstrated the efficiency of the proposed interception method, tangibly better than other existing obstacle-avoidance methods.
机译:本文提出了一种在障碍物存在下拦截运动目标的新方法。所提出的方法提供了在具有静态和/或移动障碍物的动态环境中移动的目标的同时位置拦截和速度匹配。首先从集合点制导技术中获得自主机器人(即拦截器)的加速命令,该技术考虑了拦截器的运动学和动态限制,而不考虑障碍物的运动。尽管仅在必要时,随后才增加此命令,以避免那些会干扰拦截器时间最佳运动的障碍。增强器加速度命令是在我们的工作中通过改进的单元分解方法获得的。大量的仿真和实验结果清楚地表明了所提出的拦截方法的效率,明显优于其他现有的避障方法。

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