摘要
目前国内机器人教育多以理论为主,实践机会较少,需要提供经济、适用的实验装置来引导学生接触人工智能算法及机器人控制。该智能小车以AT-SAMD21G18A芯片作为核心,利用4个光敏电阻采集光线强度信息,选取人工神经网络作为控制算法,驱动两个直流减速步进电机执行运动指令,实现趋光和避光的功能。实验结果表明,该装置虽然结构简单但涵盖了人工神经网络和机器人应用的基础知识,为机器人实验教学提供了一种低成本、可扩展的硬件支撑。
At present,robot education is mostly based on theory and has fewer practical opportunities.It is necessary to provide cheap and applicable experimental devices to guide students to contact artificial intelligence algorithms and robot control applications.The intelligent car takes ATSAMD21G18A chip as the core,four photoresistors are used to collect light intensity information,and artificial neural network is selected as control algorithm to drive two DC deceleration stepping motors to execute motion commands,so as to realize the function of robot's phototaxis and antiphototaxis.The experimental results show that although the device is simple in structure,it can still penetrate the basic knowledge of artificial neural network and robot application,providing a low-cost and scalable hardware support for robot experimental teaching.
作者
张晓华
白娟
Zhang Xiaohua;Bai Juan(School of Physics and Electronics,North China University of Water Resources and Electric Power,Zhengzhou,450046,China;School of Information Engineering,North China University of Water Resources and Electric Power,Zhengzhou,450046,China)
出处
《中国现代教育装备》
2021年第17期8-11,共4页
China Modern Educational Equipment
基金
华北水利水电大学博士启动基金项目“基于半张量积的布尔网络机器人的控制研究”(编号:40722)
华北水利水电大学一流本科课程建设基金项目“线上线下混合式一流课程《嵌入式系统》”(编号:2020-90)
华北水利水电大学2017年度校级教育教学改革项目“‘互联网+虚拟化’的教学模式研究与实践--以《嵌入式系统》课程为例”。
关键词
人工智能
光线强度
神经网络
机器人教育
artificial intelligence
light intensity
neural network
robot education
