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Autonomous Navigation with Open Software Platform for Field Robots

机译:带有开放式软件平台的现场机器人自主导航

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In this chapter, we present an autonomous monitoring robot platform for agricultural farms and fields that is built using low-cost off-the-shelf hardware and open source software so as to be affordable for farmers. We provide a review of the current state of the art in autonomous agricultural robots and summarize the challenges that they must overcome. Our work comprises two main components: (1) the system architecture and hardware selected for a fully autonomous agricultural robot platform for automated monitoring and intervention tasks, and (2) the sensor fusion, local planning, and navigation software based on the Robot Operating System (ROS) framework with inclusion of design details and testing results. The challenges faced, solutions tested, and successes achieved with respect to the hardware and software architectures for this robot are presented in the interest of guiding future solutions for autonomous agricultural navigation and planning. We evaluate our approaches in outdoor farm field environments as well as indoor environments serving as an analogue for greenhouse navigation, and show how the properties of the environment affect the accuracy of the mapping and localisation tasks.
机译:在本章中,我们介绍了一个用于农业农场和田地的自动监控机器人平台,该平台使用低成本的现成硬件和开源软件构建,从而使农民负担得起。我们回顾了自动农业机器人的最新技术,并总结了它们必须克服的挑战。我们的工作包括两个主要部分:(1)为全自动农业机器人平台选择的系统架构和硬件,用于自动化监视和干预任务;(2)基于机器人操作系统的传感器融合,本地计划和导航软件(ROS)框架,其中包含设计细节和测试结果。为了指导未来的自主农业导航和规划解决方案,提出了该机器人在硬件和软件架构方面所面临的挑战,经过测试的解决方案以及所取得的成功。我们评估了在室外农田环境以及作为温室导航类似物的室内环境中的方法,并展示了环境的特性如何影响制图和定位任务的准确性。

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