基于深度学习的智能机器人自主跟随算法研究

Research on autonomous following algorithm of intelligent robot based on deep learning

针对现有移动机器人无法实现高精度目标跟随的问题,提出了一种基于深度学习的智能机器人自主跟随算法。设计了一种适用于智能机器人完成自主跟随的机械结构作为硬件平台,利用卷积自编码的深度学习算法处理机器人摄像头获取的位置信息,从而实现目标跟随。基于搭建的智能机器人平台进行测试实验,结果表明所提出的算法能够实现直线与曲线运动的低误差跟随,跟随准确率高于85%,并明显优于其他对比算法,具有良好的实用价值。

Aiming at the problem that the existing mobile robots can not achieve high⁃precision target following,an intelligent robot autonomous following algorithm based on deep learning is proposed.A mechanical structure suitable for intelligent robot to complete autonomous following is designed as the hardware platform,and the position information obtained by the robot camera is processed by the convolution self coding depth learning algorithm,so as to achieve target following.Based on the intelligent robot platform,the test results show that the proposed algorithm can achieve low error following of straight line and curve motion,and the following accuracy is higher than 85%,which is obviously superior to other comparison algorithms,and has good practical value.