横贯语音指令自主导航室内机器人

V. J., D. Kumar, Vaibhavi H. L., Ravisham Santha, Arihant Chhalani
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引用次数: 0

摘要

当一个人被带到一个新的地方,一个新的地点本身,个人首先试图感知它,然后得到它的地理位置,最后绘制它。通过绘制整个地点的地图,人们可以毫无困难地在这个地方走动。在这个项目中,实现的方式是机器人也像人类一样消耗区域的参数,首先感知整个位置,然后绘制整个位置,然后绕着它走,从而将位置标记到绝对精确,使其完美无瑕。为了实现这一性能,编写并执行了一种使用SLAM (Simultaneous Localization and Mapping)的自映射算法——a *路径规划算法。机器人通过使用超声波传感器来测量周围物体的距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TRAVERSE-Voice Commanded Self Navigating Indoor Robot
When a human is taken to a new place, a new location per se, the individual first tries to perceive it, then gets to the geography of it and finally maps it. By mapping the whole location, the human goes around the place without any difficulty. In this project, the implementation will be done in such a way that the robot also consumes the parameters of the area in the same way as the human, by first perceiving the location entirely, followed by mapping the whole place and then going around it, thereby marking the location to absolute precision and making it flawless for navigation.

To accomplish this performance, a self-mapping algorithm using SLAM (Simultaneous Localization and Mapping), A* Algorithm for Path Planning is written and executed. The robot, by using ultrasonic sensors will measure the distances of the surrounding objects.
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