Mr Nicholas Sullivan

Higher Degree by Research Candidate

PhD Candidate

School of Mechanical Engineering

Faculty of Engineering, Computer and Mathematical Sciences

I am a Ph.D candidate undertaking my research on autonomous robotics. In particular, learning when independent robots should help one another

My main interests are in robotics, automation, artificial intelligence, and computer vision.

Date	Institution name	Country	Title
2010 - 2015	The University of Adelaide	Australia	Bachelor of Mechatronics (First Class Honours) and Computer Science

Year	Citation
2019	Sullivan, N., Grainger, S., & Cazzolato, B. (2019). Sequential single-item auction improvements for heterogeneous multi-robot routing. Robotics and Autonomous Systems, 115, 130-142. DOI
2018	Sullivan, N., Grainger, S., & Cazzolato, B. (2018). Analysis of cooperative localisation performance under varying sensor qualities and communication rates. Robotics and Autonomous Systems, 110, 73-84. DOI

Year	Citation
2018	Sullivan, N., Grainger, S., & Cazzolato, B. (2018). A dual genetic algorithm for multi-robot routing with network connectivity and energy efficiency. In Proceedings of the International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 1647-1652). Singapore: IEEE. DOI
2017	Sullivan, N., Grainger, S., & Cazzolato, B. (2017). Robust Heterogeneous Multi-Robot Task Allocation for Low-Intelligence Agents. In Proceedings of Australasian Conference on Robotics and Automation Vol. 2017-December (pp. 287-295). Sydney. Scopus1

Software

Year Citation
— Sullivan, N., Grainger, S., & Cazzolato, B. (n.d.). Algorithms for Multi-Robot Routing with Adaptive Heterogeneity [Computer Software].
DOI

Year	Citation
—	Sullivan, N., Grainger, S., & Cazzolato, B. (n.d.). Algorithms for Multi-Robot Routing with Adaptive Heterogeneity [Computer Software]. DOI

Tutor and lab demonstrator for:
- Advanced PID Control (2017)
- Advanced Digital Control (2016-2017)