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当前位置: 首页 > 文章 > 电子商务英语翻译在采摘机器人多语言系统中的应用——基于ESP理论 农机化研究 2020 (2) 234-237+242
Position: Home > Articles > Application of E-business English Translation in Multi Lingual System of Picking Robot——Based on ESP Theory Journal of Agricultural Mechanization Research 2020 (2) 234-237+242

电子商务英语翻译在采摘机器人多语言系统中的应用——基于ESP理论

作  者：
雷花;邵文婷
单  位：
江西机电职业技术学院
关键词：
采摘机器人;多语言系统;语音信号;电子商务;ESP理论
摘  要：
随着现代机器人技术的发展,农业作业机器人也有了很大的进步,自主作业能力有了大幅度提升,如自主避障、自主定位导航、自动分辨果实成熟和自动采摘等.采摘机器人的自主作业一般靠编程来实现,在遇到特殊情况时,需要专门的指令来控制采摘机器人.语音信号是一种高效控制指令,如何识别语音控制指令是采摘机器人多语言识别系统的设计关键.为此,基于ESP理论思想,采用DTW算法,对采摘机器人的多语言识别系统进行了设计,并针对其识别的准确率进行了验证.实验结果表明:采摘机器人多语言识别系统可以较好地识别各种语音样本指令,准确率超过了95%,可以满足采摘机器人高精度控制的设计需求.
译  名：
Application of E-business English Translation in Multi Lingual System of Picking Robot——Based on ESP Theory
作  者：
Lei Hua;Shao Wenting;Jiangxi Vocational College of Mechanical & Electrical Technology;
单  位：
Lei Hua%Shao Wenting%Jiangxi Vocational College of Mechanical & Electrical Technology
关键词：
picking robot;;multilingual system;;speech signal;;electronic commerce;;ESP theory
摘  要：
With the development of modern robot technology, agricultural robots have made great progress, and their ability of autonomous operation has been greatly improved, such as autonomous obstacle avoidance, autonomous positioning and navigation, automatic fruit ripening and automatic picking. The autonomous operation of the picking robot is usually realized by programming. In special circumstances, special instructions are needed to control the picking robot. Speech signal is an efficient control instruction. How to recognize the voice control instruction is the key to the design of the multi-language recognition system of the picking robot. Based on ESP theory, the multi-language recognition system of picking robot is designed by using DTW algorithm, and its recognition accuracy is verified. The experimental results show that the multi-language recognition system of picking robot designed in this paper can recognize all kinds of speech sample instructions well, and its accuracy exceeds 95%. It can meet the design requirements of high precision control of picking robot.

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