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REAL-TIME SCHEDULING LIMITATIONS TO ROBOT MOTION PLANNING: EXPERIMENTAL RESULTS

机译:机器人运动规划的实时调度限制:实验结果

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Most autonomous mobile robots have a complex software arquitecture, consisting of multiple tasks managed by a shared-time operating system. It is evident that the lack of real-time support from the operating system may have negative effects on the robot motion performance, because of temporal deviations among intended and really executed tasks. Even though, the potential importance of such effects is not clearly discussed in the mobile robots literature. This paper presents an experimental evaluation of the consequences of such incorrect task scheduling schemes. Experiments have been carried out in two commercial mobile platforms, a Nomad-200 with DOS OS, and a B-21 with Linux OS. They illustrate two points at issue: a) non real-time scheduling may reduce robot motion accuracy significantly, and b) a correct timing is mandatory in order to maintain convergence and security properties of continuous sensor-based motion planning algorithms.
机译:大多数自主移动机器人都有一个复杂的软件Arquitecture,由共享时间操作系统管理的多个任务组成。显然,由于预期和真正执行的任务之间的时间偏差,因此从操作系统缺乏实时支持可能对机器人运动性能产生负面影响。即使,在移动机器人文献中没有明确讨论这种效果的潜在重要性。本文介绍了这种不正确的任务调度方案的后果的实验评价。实验已在两个商业移动平台中进行,具有DOS OS的Nomad-200,以及带Linux OS的B-21。它们在问题上示出了两个点:a)非实时调度可以显着降低机器人运动精度,并且b)是强制性的,以便维持基于连续传感器的运动规划算法的收敛性和安全性。

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