基于NAO机器人各类编程方式分析
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摘要
机器人是目前新兴研究的热点之一,而类人型机器人又是服务机器人中重要的组成部分,其重要性不言而喻。NAO机器人作为类人型机器人中较为成熟的一款产品,是一个非常优秀的类人型机器人的开发平台。针对在开发的过程中,NAO机器人出现的编译环境多样,对于初学者不宜选择等问题,本文以人脸识别为例,设计实验,通过分析对比官方开发的较为直观的可视化编译环境,以及发挥空间更大的Python语言编译这两者之间的区别,对初学者和后续开发的需求和使用体验做出了分析。
The humanoid robot is one of the most popular hotspots in the current electronic research. As a mature product of humanoid robots,NAO robot is a development platform for a versatile humanoid robot. It is found that,during the process of development,NAO robots have various compiling environments and have been slow to catch on. This paper focuses on the pros and cons of different programming methods on the platform of NAO robots. It will take face recognition as an example,design experiments,in order to distinguish the visual compiling environment developed by the government and the Python language compiling. And it will analyze the needs and experience of beginners and follow-up development.
The humanoid robot is one of the most popular hotspots in the current electronic research. As a mature product of humanoid robots,NAO robot is a development platform for a versatile humanoid robot. It is found that,during the process of development,NAO robots have various compiling environments and have been slow to catch on. This paper focuses on the pros and cons of different programming methods on the platform of NAO robots. It will take face recognition as an example,design experiments,in order to distinguish the visual compiling environment developed by the government and the Python language compiling. And it will analyze the needs and experience of beginners and follow-up development.
引文
[1]董付国. Python程序设计开发宝典[M].北京:清华大学出版社,2017.
[2]王中意,朱小波,车进. NAO机器人的视觉系统与图像处理分析[J].电子世界,2017(22):63-65.
[3] Softbank. Naoqi Documentation[DB/OL]. http://doc. aldebaran.com/2-1/dev/python/examples/motion/stiffness. html#pythonexample-motion-stiffness,2017-08-10/2018-03-25.
[4]李鹤喜,张长亮.基于单目立体视觉的NAO机器人的目标定位与抓取[J].五邑大学学报(自然科学版),2017,31(2):20-26.
[5]夏娟.移动机器人路径规划和手臂控制[D].郑州:中原工学院,2017.
[6]王丹丹.基于变长倒立摆模型的双足机器人步态研究与实现[D].天津:天津理工大学,2017.
[7]王振,张星. NAO机器人平台的创新实验设计与实现[J].实验室研究与探索,2016,35(12):156-159.
[8]孙翔侃,白宝兴.基于机器学习的NAO机器人检测跟踪[J].长春理工大学学报(自然科学版),2016,39(2):116-119.
[9]刘小峰,周旭,汪建明,等.大学生创新技能培养的NAO机器人交互平台[J].实验室研究与探索,2016,35(3):147-151,195.
[10]葛俊,费燕琼. NAO机器人室内环境下自主导航设计[J].机电一体化,2016,22(2):45-47,53.
[11]柏雪峰,杨斌.基于NAO机器人目标识别与定位算法[J].成都信息工程学院学报,2014,29(6):625-629.
[12]袁丽,田国会,李国栋. NAO机器人的视觉伺服物品抓取操作[J].山东大学学报(工学版),2014,44(3):57-63.
[13] NAO———创造交互型的机器人[J].机器人技术与应用,2014(3):63-65.
[14]张婷. NAO机器人在自闭症干预中的应用[J].系统仿真技术,2013,9(4):327-331,338.
[15]张生,李龙澍.一种NAO机器人的白线识别方法[J].计算机与现代化,2013(8):27-29,42.
[2]王中意,朱小波,车进. NAO机器人的视觉系统与图像处理分析[J].电子世界,2017(22):63-65.
[3] Softbank. Naoqi Documentation[DB/OL]. http://doc. aldebaran.com/2-1/dev/python/examples/motion/stiffness. html#pythonexample-motion-stiffness,2017-08-10/2018-03-25.
[4]李鹤喜,张长亮.基于单目立体视觉的NAO机器人的目标定位与抓取[J].五邑大学学报(自然科学版),2017,31(2):20-26.
[5]夏娟.移动机器人路径规划和手臂控制[D].郑州:中原工学院,2017.
[6]王丹丹.基于变长倒立摆模型的双足机器人步态研究与实现[D].天津:天津理工大学,2017.
[7]王振,张星. NAO机器人平台的创新实验设计与实现[J].实验室研究与探索,2016,35(12):156-159.
[8]孙翔侃,白宝兴.基于机器学习的NAO机器人检测跟踪[J].长春理工大学学报(自然科学版),2016,39(2):116-119.
[9]刘小峰,周旭,汪建明,等.大学生创新技能培养的NAO机器人交互平台[J].实验室研究与探索,2016,35(3):147-151,195.
[10]葛俊,费燕琼. NAO机器人室内环境下自主导航设计[J].机电一体化,2016,22(2):45-47,53.
[11]柏雪峰,杨斌.基于NAO机器人目标识别与定位算法[J].成都信息工程学院学报,2014,29(6):625-629.
[12]袁丽,田国会,李国栋. NAO机器人的视觉伺服物品抓取操作[J].山东大学学报(工学版),2014,44(3):57-63.
[13] NAO———创造交互型的机器人[J].机器人技术与应用,2014(3):63-65.
[14]张婷. NAO机器人在自闭症干预中的应用[J].系统仿真技术,2013,9(4):327-331,338.
[15]张生,李龙澍.一种NAO机器人的白线识别方法[J].计算机与现代化,2013(8):27-29,42.