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Heavy-duty omni-directional Mecanum-wheeled robot for autonomous navigation: System development and simulation realization

机译:用于自主导航的重型全向麦克纳姆轮式机器人:系统开发和仿真实现

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摘要

A Mecanum-wheeled robot benefits from great omni-direction maneuverability. However it suffers from random slippage and high-speed vibration, which creates electric power safety, uncertain position errors and energy waste problems for heavy-duty tasks. A lack of Mecanum research on heavy-duty autonomous navigation demands a robot platform to conduct experiments in the future. This paper introduces AuckBot, a heavy-duty omni-directional Mecanum robot platform developed at the University of Auckland, including its hardware overview, the control system architecture and the simulation design. In particular the control system, synergistically combining the Beckhoff system as the Controller-PC to serve low-level motion execution and ROS as the Navigation-PC to accomplish highlevel intelligent navigation tasks, is developed. In addition, a computer virtual simulation based on ISG-virtuos for virtual AuckBot has been validated. The present status and future work of AuckBot are described at the end.
机译:麦克纳姆轮式机器人得益于出色的全向可操作性。但是,它会遭受随机打滑和高速振动的困扰,这会产生电力安全,不确定的位置误差以及重型任务的能源浪费问题。缺乏有关重型自动导航的Mecanum研究,需要将来使用机器人平台进行实验。本文介绍了奥克兰大学开发的重型全向Mecanum机器人平台AuckBot,包括其硬件概述,控制系统架构和仿真设计。特别是,开发了将Beckhoff系统作为Controller-PC服务于低级运动执行而将ROS作为Navigation-PC来完成高级智能导航任务的协同结合的控制系统。此外,基于ISG-virtuos的虚拟AuckBot计算机虚拟仿真已得到验证。最后介绍了AuckBot的现状和未来的工作。

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