Abstract
This paper describes the creation of SwarmVision, a system of autonomous robotic cameras that functions both as the basis for an art installation and as an instrument for generating novel engineering research. Through a series of interviews with engineers who examined the project, we illustrate how experimentation with the instrument could lead to potential new research directions in computer vision, machine learning, swarm robotics, remote collaboration, and visualization. This suggests that an unstructured and aesthetic approach to research can inform and inspire new engineering research directions, within and beyond the scope of this particular project.
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Acknowledgments
Special thanks to our colleagues Daniel Vaquero, Ahana Reddy, and Yuan-Yi Fan for contributions of computer vision and image processing algorithms, literature review, and for the development of a stable controller for robotic diagonal movement. This project has been funded by the Robert W. Deutsch Foundation and National Science Foundation IIS #1149001 grant.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pinter, M., Forbes, A.G., Bazo, D., Legrady, G. (2015). Generation of Engineering Research Directions Through Artistic Process. In: Brooks, A., Ayiter, E., Yazicigil, O. (eds) Arts and Technology. ArtsIT 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 145. Springer, Cham. https://doi.org/10.1007/978-3-319-18836-2_4
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DOI: https://doi.org/10.1007/978-3-319-18836-2_4
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