IoT-enabled Soft Robotics for Electrical Engineers

被引:5
作者
Sundaravadivel, Prabha [1 ]
Ghosh, Prosenjit Kumar [1 ]
Suwal, Bikal [1 ]
机构
[1] Univ Texas Tyler, Dept Elect Engn, Tyler, TX 75799 USA
来源
PROCEEDINGS OF THE 32ND GREAT LAKES SYMPOSIUM ON VLSI 2022, GLSVLSI 2022 | 2022年
关键词
Internet of Things; IoT controller; Soft robotics; Problem-based learning;
D O I
10.1145/3526241.3530369
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the field of technology and engineering education, there is a lot of uncertainty as to what the future trends are going to be. The institutions are preparing and training their students for jobs that they haven't even explored yet. To overcome this uncertainty, new domains with overlapping skill sets are constantly integrated to engage students with technological development for the future computing era. Robotics and the Internet of Things have been a popular area of interest amongst Electrical and Computer Engineers with high global value. Soft robots can be described as a form of biomimicry in which traditional hard robotics are replaced by a more sophisticated model that imitates human, animal, and plant life. In this article, we discuss a problem-based learning approach to integrate key concepts of soft robotics into the undergraduate electrical engineering curricula. The proposed module can be easily integrated into any IoT and Robotics curriculum.
引用
收藏
页码:329 / 332
页数:4
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