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Mode-based navigation for autonomous mine vehicles

机译:自动驾驶矿车的基于模式的导航

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摘要

The development of an autonomous mobile robot for use in underground mines is described. The navigation scheme combines elements of both hierarchical control and reactive or subsumptive-type control. The robot navigates by sensing the environment and selecting a navigational mode that is appropriate to the circumstances and to the robot's mission. Examples of navigational modes are wall following, collision avoidance and homing. The modes are implemented in modules formed by combinations of neural network processors and conventional control algorithms. The overall control system architecture and the navigational strategies of the experimental robot vehicle are also described.
机译:描述了用于地下矿井的自主移动机器人的开发。导航方案结合了分层控制和无功或包容型控制的元素。机器人通过感知环境并选择适合于环境和机器人任务的导航模式进行导航。导航模式的示例为墙跟随,避免碰撞和归位。这些模式在由神经网络处理器和常规控制算法组合而成的模块中实现。还描述了实验机器人车辆的总体控制系统架构和导航策略。

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