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A biologically inspired intelligent environment architecture for mobile robot navigation

机译:生物启发的智能环境架构,可用于移动机器人导航

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Localisation in conventional autonomous robot navigation using centralised on-board intelligence faces many challenging issues. Steering away from the centralised on-board solution, this paper proposes a distributed approach by deploying distributed wireless nodes that comprise of vision sensors and embedded computers to process images, localise the robot and dynamic obstacles, navigate and control the robot. This schema releases massive on-board information processing required by conventional autonomous robot to its operation environment. The objective is to enable robots with limited intelligence to carry out complex navigation functions. The architectural design and realisation for connecting wireless vision sensors in the environment for global robot navigation path planning and local motion control is described. The paper gives a review of the proposed algorithms. The details of the wireless sensor network connectivity, system functions and modules, organisation and connection of the system components are described. The hardware and software realisation and experiment results are also discussed.
机译:使用集中式机载智能的传统自主机器人导航中的本地化面临许多具有挑战性的问题。避开集中式车载解决方案,本文提出了一种分布式方法,即部署由视觉传感器和嵌入式计算机组成的分布式无线节点来处理图像,定位机器人和动态障碍物,导航和控制机器人。这种模式将常规自主机器人所需的大量车载信息处理释放到其操作环境中。目的是使智能有限的机器人能够执行复杂的导航功能。描述了在环境中连接无线视觉传感器以进行全局机器人导航路径规划和局部运动控制的体系结构设计和实现。本文对提出的算法进行了综述。描述了无线传感器网络连接,系统功能和模块,系统组件的组织和连接的详细信息。还讨论了硬件和软件的实现以及实验结果。

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