Experiences of Integrating UAVs into the Curriculum through Multidisciplinary Engineering Projects
Author(s) -
Ciarán McGoldrick,
Smita Shivaram,
Meriel Huggard
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.26818
Subject(s) - drone , multidisciplinary approach , variety (cybernetics) , computer science , curriculum , engineering education , engineering management , engineering , systems engineering , artificial intelligence , psychology , social science , pedagogy , sociology , genetics , biology
The content and means of delivery of many electronic and computer engineering courses has evolved radically over the past decade due to the rise in the availability of affordable, open-source programmable microcontrollers and accessible wireless communication devices. Many engineering modules have been extended to more closely integrate the underlying technologies and systems with modern engineering practice. One of the more exciting additions to the range of inexpensive robotic technologies is unmanned aerial vehicles (UAVs), or drones. Drones have a wide range of real-world applications and the full potential of these devices has yet to be explored by either industry or educators. Drones have an enormous capacity to engage students and facilitate classroom learning. Drones offer a challenging platform for existing engineering design modules where students face challenges in electronics, control, programming and project management. However, one of the challenges facing educators is how to integrate drones within their courses in a meaningful way; so that UAVs are not viewed as mere toys, but as devices that have a credible role to play in the solution of real world problems. In this paper we describe how UAVs have been included across multidisciplinary projects where students work on real world problems that span a broad range of engineering disciplines. The projects draw on the capabilities of UAVs: the ability to sense objects in their surroundings, to plot and maintain an accurate course, to make on-the-fly adjustments based on environmental data, to use computer vision to interpret data gathered by the on-board camera etc. As a proof-of-concept we focus on a practical, contemporary engineering task – the use of UAVs to monitor the structural health of next generation wind turbines. We describe the high level task, decompose it into multiple complementary facets, relate those to specific engineering disciplines and associated educational concepts at both undergraduate and postgraduate levels, and then present specific learning and developmental opportunities and describe and present the student engagement and achievements.
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