Nicholas Sullivan

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.

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  • Journals

    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
  • Conference Papers

    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 routing for low-intelligence agents. In Australasian Conference on Robotics and Automation, ACRA Vol. 2017-December (pp. 287-295).
    Scopus1
  • Software

    Year Citation
    Sullivan, N., Grainger, S., & Cazzolato, B. (n.d.). Algorithms for Multi-Robot Routing with Adaptive Heterogeneity [Computer Software].
    DOI
  • RTP Scholarship (2016-2019)
  • DSTG Scholarship (2017-2020)
  • Tutor and lab demonstrator for:
    • Advanced PID Control (2017)
    • Advanced Digital Control (2016-2017)
  • Position: PhD Candidate
  • Phone: 83133152
  • Email: nicholas.sullivan@adelaide.edu.au
  • Campus: North Terrace
  • Building: Engineering South, floor 1
  • Room: 1 07
  • Org Unit: School of Mechanical Engineering

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