Synergy of artificial intelligence projects in faculty-student research

Document Type

Conference Proceeding

Publication Date

1-1-2017

Abstract

In this paper, we are proposing to enhance undergraduate student research by including significant comparative analysis activities. Our approach to implement these activities is to carry out two different research projects for two groups of students that have a common theme. We refer to them as synergistic projects. The first of these synergetic projects is to leverage vision-based algorithms to conduct autonomous target tracking. The second is to advance the solutions in swarm robotics for the NASA space mission. Significant value can be added to student research activities by involving two groups of students working on two different projects in close cooperation. It can increase a depth of understanding of the problems by contrasting the solutions and therefore creating a more solid framework for student research in computer science. Such a framework makes the research more effective and attractive by exposing alternative solutions, alternative evaluations for solutions, and limits for solutions.

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