云计算环境下用于智能机器人避障的激光测距仪设计

Design of Laser Range Finder for Obstacle Avoidance of Intelligent Robot in Cloud Computing Environment

移动智能机器人是人工智能领域的重要研究方向之一,移动机器人要实现避障的基本功能,需在机体内安装传感测距装置以控制与障碍物的距离。针对当前用于机器人避障的测距装置易受到电磁干扰、体积大、测距精度低的不足,提出一种云计算环境下用于智能机器人避障的激光测距仪设计。首先依据激光脉冲测距原理,设计了以信号调制器、激光器和光学发射接收系统为核心模块的测距仪系统硬件结构;在云计算环境下基于云端的超强运算能力,对高频激光回波信号脉冲计数,并提取激光器发射信号与回波信号之间的相位差,实现对机器人和障碍物之间距离的精确测量。实验结果证明,提出的激光测距仪设计具有较强的适应性和抗干扰能力,在低信噪比条件下仍能够将测量误差控制在较低的水平。

Mobile intelligent robot is one of the most important research directions in the field of artificial intelligence.In order to realize the basic function of obstacle avoidance,the mobile robot should set up the distance measuring device to control the distance from the obstacle.In order to overcome the disadvantages of electromagnetic interference,large volume and low precision,the laser range finder is designed for the intelligent robot to avoid obstacles in the cloud computing environment.Based on the principle of laser pulse ranging,designed to launch hardware rangefinder system structure of receiving system for the core module in signal modulator,laser and optical cloud;super computing power based on cloud computing,the pulse laser echo signals were counted,and extract the phase between the laser emission signal and echo signal difference and realize the accurate measurement of the distance between the robot and the obstacles.The experimental results show that the design of the laser range finder has strong adaptability and anti-jamming ability,and the measurement error can be controlled at a low level under the condition of low signal to noise ratio.