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Design of an artificial intelligent system to generate 2D map of unknown environment

机译:生成未知环境二维地图的人工智能系统设计

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Knowledge-based systems are advanced systems for representing complex problems that use artificial intelligence. They incorporate a database of expert knowledge designed to facilitate the knowledge retrieval in response to specific queries, along with learning. In this paper we present a knowledge based system designed to develop a semi-autonomous vehicle (Robot car) that can detect obstacle, generate a map of unknown environment and find path from generated map. The vehicle is equipped with several sensors to sense whether there is obstacle or not. It continuously sends information collected by sensors to controller via wireless communication module. The controller analyzes information from sensor, formulates corresponding plans, makes appropriate decision and sends instructions to the car. The car actuator drives the car to the direction according to the controller acknowledgement. Thus it can find obstacle free path. The vehicle is tested with varying destination places in indoor and outdoor environments containing stationary as well as moving obstacles and is found to perform automatic action and generate a map of the unknown place with the help of AI.
机译:基于知识的系统是代表使用人工智能的复杂问题的高级系统。他们合并了一个专门知识数据库,旨在促进对特定查询的响应以及学习过程中的知识检索。在本文中,我们提出了一个基于知识的系统,该系统旨在开发一种能够检测障碍物,生成未知环境的地图并从生成的地图中查找路径的半自动车辆(机器人汽车)。车辆配备有多个传感器以感应是否有障碍物。它通过无线通信模块将传感器收集的信息连续发送到控制器。控制器分析来自传感器的信息,制定相应的计划,做出适当的决定并向汽车发送指令。轿厢执行器根据控制器确认将轿厢驱动至方向。因此,它可以找到无障碍的路径。在室内和室外环境中,包含固定障碍物和移动障碍物的不同目的地位置对车辆进行了测试,发现该车辆可以执行自动动作,并借助AI生成未知地点的地图。

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