文献类型：期刊文献

中文题名：基于嵌入式路径规划的智能运输机器人

英文题名：Intelligent Transportation Robot Based on Embedded Path Planning

作者：林钰滨[1];陈浩杰[1];肖建勇[1];吴志安[1];李德荣[1]

机构：[1]广东海洋大学机械与动力工程学院,广东湛江524088

年份：2022

卷号：51

期号：7

起止页码：130

中文期刊名：机电工程技术

外文期刊名：Mechanical & Electrical Engineering Technology

基金：国家级大学生创新创业训练计划项目(编号:202110566015)。

语种：中文

中文关键词：嵌入式;路径规划;识别二维码;自主避障;MPU6050

外文关键词：embedded;path planning;identify QR code;autonomous obstacle avoidance;MPU6050

中文摘要：为解决零件加工生产车间人工运输成本高、物流配送智能化程度不高的现状,设计一款新型的智能运输机器人。该机器人是依据单片机技术、传感器技术、机械设计和机械原理的基础知识,选择简单的机械结构及控制方案,通过SolidWorks实体三维软件和KeilμVision编程软件设计的。其实验结果表明,本机器人可以准确地读出和显示出物料的重量,正确识别二维码和交通灯,精准躲避障碍物,语音播报对应的提醒,自主规划路线且做到启程和返程,实现了物流配送需要的功能要求。其机器人具有结构简单且稳定,适应性能力强,系统可靠性高,智能化程度高,与传统运输方式相比,减少了人力劳动和提高了运输效率,达到了降低生产产品成本和提高生产效率的效果,并且对于零件加工生产车间物流配送智能化的发展有一定的推动作用和对于物流行业的配送智能化的发展也有一定的参考价值。

外文摘要：In order to solve the current situation of high manual transportation cost and low intelligence of logistics distribution in parts processing and production workshop,a new intelligent transportation robot was designed.Based on the basic knowledge of single chip microcomputer technology,sensor technology,mechanical design and mechanical principle,the robot selected a simple mechanical structure and controled scheme through SolidWorks solid three-dimensional software and Keil μ Vision programming software design.The experimental results show that the robot can accurately read out and display the weight of materials,correctly recognize QR codes and traffic lights,accurately avoid obstacles,broadcast corresponding reminders by voice,independently plan routes and achieve departure and return,and realize the functional requirements required by logistics distribution.The robot has simple and stable structure,strong adaptability,high system reliability and high degree of intelligence.Compared with the traditional transportation mode,it reduces human labor and improves the transportation efficiency,and achieves the effect of reducing the cost of production products and improving the production efficiency.It also plays a certain role in promoting the development of intelligent logistics distribution in parts processing and production workshops and has a certain reference value for the development of intelligent distribution in the logistics industry.