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Maze Solving Robot with Automated Obstacle Avoidance

机译:具有自动避障功能的迷宫解决机器人

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A quick development of innovation moves us to plan the best choice for an accurate mission. Numerous independent automated innovations are intimated in the lives of individuals making their work much easier. It has been seen that automated vehicles are presented so far, with shrewd abilities after enormous measures of cash spent yearly on the examination. Here in this paper, autonomous maze solving robot is developed with independent mapping and localization skill. Firstly, the maze solving vehicle is designed with three infrared sensors of which two is used for wall detection to avoid collision and the third is for obstacle detection for picking and placing the objects to clear its pathway with the help of robotic arm. Also, it desires to use robot where an environment unreachable for human. In addition, there are also places where use of robots is the only way to achieve a goal. For this, appropriate placement of sensory devices is very critical. We have successfully implemented a maze solving ability onto the robot so called MazeBot. It has been tested that the robot can solve the maze successfully without any interruption with the walls and the objects. In this design, the accuracy of measurements and the real-time processing allied with minimum processing power are the key components in overall embedded design.
机译:创新的快速发展促使我们为准确的任务计划最佳选择。大量的独立自动化创新与个人生活息息相关,使他们的工作更加轻松。可以看出,到目前为止,已经提出了自动驾驶汽车,这种自动驾驶汽车在每年花费大量现金用于检查后具有精明的能力。本文中,自主迷宫解决机器人的开发具有独立的映射和定位技能。首先,迷宫解决车辆设计有三个红外传感器,其中两个用于墙壁检测以避免碰撞,第三个用于障碍物检测以借助机械臂拾取和放置物体以清理其路径。而且,它希望在人类无法到达的环境中使用机器人。此外,在某些地方,使用机器人是达成目标的唯一途径。为此,适当放置传感设备非常关键。我们已经成功地在称为MazeBot的机器人上实现了迷宫求解功能。经过测试,该机器人可以成功解决迷宫问题,而不会干扰墙壁和物体。在这种设计中,测量精度和实时处理以及最小的处理能力是整个嵌入式设计的关键组成部分。

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