[1]杨立本 曹卫华.基于机器人教育的机械电子专业教学改革研究[J].大众科技,2019,21(01):78-80.
　Research on New Methods of Teaching Reform in Mechanical Electronics Based on Robot Education[J].Popular Science & Technology,2019,21(01):78-80.
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基于机器人教育的机械电子专业教学改革研究()
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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
21
期数:
2019年01
页码:
78-80
栏目:
科技人力资源
出版日期:
2019-01-20

文章信息/Info

Title:
Research on New Methods of Teaching Reform in Mechanical Electronics Based on Robot Education
作者:
杨立本 曹卫华
（桂林理工大学机械与控制工程学院，广西 桂林 541006）
关键词:
机械电子; 机器人技术; 教学改革
Keywords:
mechanical electronics;  robot technology;  teaching reform
文献标志码:
A
摘要:
以机器人技术为代表的机械电子技术在军事、民用等很多领域都有着重要和广泛的应用，如何在新时代下，结合当前科学的发展现状和趋势，更好地完成机械电子专业的教学是非常重要的，文章分析了机器人的核心技术，找到机器人技术和教学科研中的结合点。并利用高等教育心理学的方法，分析了大学生的学习特点和心理特点，提出将机器人教育深入应用到机械电子工程专业的教学中去，提出了将机器人技术和机械电子专业教育进行深度的结合，从而提高机械电子专业本科生的学习积极性和效率。
Abstract:
The mechanical and electronic technology represented by robot technology has important and extensive applications in many fields such as military and civilian. How to better complete the teaching of mechanical and electronic majors in the new era, combined with the current development status and trends of science is important, this paper analyzes the core technology of robots and finds the combination of robotics and teaching and research. Using the method of higher education psychology, this paper analyzes the learning characteristics and psychological characteristics of college students, and puts forward the application of robot education to the teaching of mechanical electronics and the deep integration of robot technology and mechanical electronics education to improve the enthusiasm and efficiency of undergraduates in mechanical and electronic majors.

参考文献/References:

【参考文献】 [1] S.Azrad,F.Kendoul,K.Nonami.Visual Servoing of Quadrotor Micro-air Vehicle Using Color-based Tracking Algorithm[J]. Journal of System Design and Dynamics,2010,4(2):255- 268. [2] A.A.Proctor,E.N.Johnson,T.B.Apker.Vision-only Control and Guidance for Aircraft[J].Journal of Field Robotics,2006,23 (10):863-890. [3] P.Viola,M.Jones.Rapid Object Detection Using a Boosted Cascade of Simple Features[C].2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR),2001,1:511-518. [4] G.M′attyus,C.Benedek,T.Szir′anyi.Multi Target Tracking on Aerial Videos[C].ISPRS Istanbul workshop 2010 on modeling of optical airborne and space borne sensors, WGI/4.,2010:1-7. [5] M.A.Fischler,R.C.Bolles. Random Sample Consensus:A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography[J].Commun.ACM, 1981,24(6):381-395. [6] M.Yi,B.Guo.Aerial Video Image Registration Method Based on Invariant Features and Mapping Restraint[J].Acta Aeronautica et Astronautica Sinica,2012,33(10):1872-1880. [7] 黎万义,王鹏,乔红.引入视觉注意机制的目标跟踪方法综述[J].自动化学报,2014,40(4):561-576.

备注/Memo

备注/Memo:
【收稿日期】2018-10-10 【基金项目】桂林理工大学校级教改项目“大学机械工程专业生产实习教学改革和研究与实践”（2016B17）。 【作者简介】杨立本（1982－），男，甘肃庆阳人，桂林理工大学机械与控制工程学院教师，博士，研究方向为传感器信息融合。
更新日期/Last Update: 2019-02-21