A Successful Approach to the 2016 RobotX Challenge

被引:1
作者
Gray, Andrew C. [1 ]
Schwartz, Eric M. [2 ,3 ]
机构
[1] Univ Florida, Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Univ Florida, Machine Intelligence Lab, Gainesville, FL 32611 USA
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
关键词
aerospace engineering; Association for Unmanned Vehicle Systems International (AUVSI); autonomous systems; Challenge-Based Learning; computer engineering; computer science; computing; education; electrical engineering; Maritime RobotX Challenge; mechanical engineering; robotics; wave adaptive modular vessel (WAM-V);
D O I
10.1109/MC.2017.123
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Discover how the University of Florida's team prepared for the most difficult collegiate-level robotic competition.
引用
收藏
页码:106 / 109
页数:4
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