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.
作者
王元杰
林都
鲜浩
WANG Yuanjie;LIN Du;XIAN Hao(Science of Electrical and Control Engineering, North University of China ,Taiyuan 030051, China)
出处
《实验室研究与探索》
CAS
北大核心
2019年第3期42-45,共4页
Research and Exploration In Laboratory
