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Navigation and Sensor Integration in an Autonomous Lawnmower

机译:自主割草机中的导航和传感器集成

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摘要

This paper presents the design and implementation of a robotic lawnmower. The objective is to build a lawnmower with the ability to mow grass in a specified area autonomously while avoiding collisions with obstacles. The obstacles to be taken into consideration are: a flower bed, a fenced area, and a moving obstacle that will engage the lawnmower for thirty seconds and then move off of the field. The main tasks to be achieved are to create a frame of the lawnmower, select the proper wheel motors, integrate off the shelf sensors, and implement control algorithms for the motors. The aim is to design a functional and efficient navigational algorithm which is able to process data from a differential GPS, a digital IMU, ultrasonic sensors, a touch sensor, and a laser range finder (LRFS). The LRFS is the main sensor to detect and avoid moving and static obstacles. A touch sensor is also used to travel a curved path using force control. All sensors send information to a laptop computer that carries out a navigation algorithm allowing it to make decisions and direct the motors accordingly. The output of the algorithm controls the speed and direction of the mower through the use of wheel encoders.
机译:本文介绍了机器人割草机的设计与实现。目标是建立一个割草机,能够在自主地在特定区域割草,同时避免与障碍物的碰撞。要考虑的障碍是:花床,围栏区域和移动障碍物,将割草机与割草机接触到三十秒,然后移开现场。要实现的主要任务是创建割草机的框架,选择适当的轮子电机,整合在货架传感器上,并为电机实施控制算法。目的是设计一种功能和有效的导航算法,能够从差分GPS,数字IMU,超声波传感器,触摸传感器和激光测距仪(LRF)处理数据。 LRFS是用于检测和避免移动和静态障碍物的主要传感器。触摸传感器还用于使用力控制行进弯曲路径。所有传感器都将信息发送到携带导航算法的笔记本电脑,允许它做出决定并相应地引导电机。算法的输出通过使用轮式编码器来控制割草机的速度和方向。

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