I am currently a masters student at the Australian Centre for Field Robotics (ACFR) in Sydney, Australia.





  • McAllister, R., Peynot, T., Fitch, R.
    Motion Planning and Stochastic Control with Experimental Validation on a Planetary Rover, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012 (accepted 2 July 2012)
  • Peynot, T., Fitch, R., McAllister, R., Alempijevic, A.
    Resilient Navigation through Online Probabilistic Modality Reconfiguration, International Conference on Intelligent Autonomous Systems, 2012 (accepted 3 April 2012)
  • Peynot, T., Fitch, R., McAllister, R., Alempijevic, A.
    Autonomous Reconfiguration of a Multi-Modal Mobile Robot (ICRA workshop 2011)
  • Fitch, R., McAllister, R.
    Hierarchical Planning for Self-Reconfiguring Robots Using Module Kinematics 10th International Symposium on Distributed Autonomous Robotics Systems (DARS 2010)
  • McAllister, R.
    Autonomous Reconfiguration Planning in Modular Robots Honours thesis, The University of Sydney, 2009

Undergrad research projects

  • Neuronal Dynamics
    Physics, 2008: Talented Students Program Third Year Project – Supervisors, Prof. Peter Robinson and Dr. Jong-Won Kim
    An analysis of how neuronal behaviour types of ‘resting’, ‘spiking’ and ‘bursting’ are initiated by particular ion currents. The purpose of this work was to generate a low-cost model of neurons for use in large scale simulations of neural networks. report

  • Self-Organisation on Plasma Exposed Surfaces
    Physics, 2006: Talented Students Program Second Year Project – Supervisor, Prof. Kostya Ostrikov
    Worked with a partner investigating the manufacture of Carbon Nanotips and Quantum Dots via a Matlab simulation we built


    Writing a connect4.m game using the Minimax algorithm was where my interest in AI began in 2008 (StrategyC is the hardest setting, requires Matlab R14 or greater to run). Please forgive the unreadable code...i had an engineering background and this was my first CS course :-)