摘要
依托高校人工智能课程,结合垃圾分类这一重要民生问题,本文设计了基于NAO机器人的垃圾识别与目标抓取创新实验。基于NAO的实验开发平台Choregraphe,使用视频监视器进行图像数据的学习,建立图像数据库,进而使用Vision Reco.指令盒进行视觉识别。根据机器人运动学理论,实现NAO对目标的抓取动作设计,并使用NAOMarks进行定位信息处理,确保NAO正确定位垃圾桶位置。经过教学实践发现,学生对该种模式的教学方法有极高的学习兴趣,培养了学生的动手实践能力,对于学生创新实践思维的培养有积极的促进意义。
Relying on the artificial intelligence course in colleges and universities,combined with the important livelihood problem of garbage classification,this paper designs an innovative experiment of waste identification and target capture based on NAO robot.The experimental development platform Chorepache based on NAO uses video monitor to learn image data,establish image database,and then use Vision Reco.Instruction box for visual recognition.According to the robot kinematics theory,the grasping action design of NAO to the target is realized,and NAOMarks is used to process the positioning information to ensure that NAO can correctly locate the trash can.Through teaching practice,it is found that students have a high interest in this mode of teaching method,cultivate students'practical ability,and have a positive significance in promoting the cultivation of students'innovative practical thinking.
作者
王可欣
卫九蓉
杨嘉融
李程
王晨
石玉
强宁
WANG Kexin;WEI Jiurong;YANG Jiarong;LI Cheng;WANG Chen;SHI Yu;QIANG Ning(School of Physics and Information Technology,Shaanxi Normal University,Xi'an,Shaanxi Province,710062 China)
出处
《科技创新导报》
2021年第19期178-183,共6页
Science and Technology Innovation Herald
