Oxford Robotics Institute | Publications - Theses

2019

• T. Suleymanov, “Route boundary inference with vision and LiDAR,” PhD Thesis, Oxford, United Kingdom, 2019.
•  J. Dequarie, “ Predictive sensing for field robotics” PhD Thesis, Oxford, United Kingdom, 2019.
•  S. Cen, “Ego-Motion Estimation and Localization with Millimeter-Wave Scanning Radar,” PhD Thesis, Oxford, United Kingdom, 2019.

2018

•  M. Wulfmeier, “Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation,” PhD Thesis, Oxford, United Kingdom, 2018.
•  N. Dhir, “Bayesian nonparametric methods for dynamics identification and segmentation for powered prosthesis control,” PhD Thesis, Oxford, United Kingdom, 2018.

2017

•  M. Tanner, “BORG: Building Optimal Regularised Reconstructions with GPUs (in cubes),” PhD Thesis, Oxford, United Kingdom, 2017.
•  M. Gadd, “The Data Market: Policies for Decentralised Visual Localisation,” PhD Thesis, Oxford, United Kingdom, 2017.

2016

•  H. Grimmett, “Introspective Classification for Robot Perception and Decision Making,” PhD Thesis, Oxford, United Kingdom, 2016.
•  P. Ondruska, “Learning Complex Markov Models for Mobile Robotics,” PhD Thesis, Oxford, United Kingdom, 2016.
•  C. Linegar, “Vision-Only Localisation Under Extreme Appearance Change,” PhD Thesis, Oxford, United Kingdom, 2016.

2014

•  A. Stewart, “Localisation using the Appearance of Prior Structure,” PhD Thesis, Oxford, United Kingdom, 2014.
•  C. McManus, “Learning Place-Dependant Features For Long-Term Vision-Based Localisation,” PhD Thesis, Oxford, United Kingdom, 2014.
•  D. Z. Wang, “Laser-Based Detection and Tracking of Dynamic Objects,” PhD Thesis, Oxford, United Kingdom, 2014.
•  A. Napier, “Vision & Laser For Road Based Localisation,” PhD Thesis, Oxford, United Kingdom, 2014.

2013

•  M. Sheehan, “3D Laser Methods for Calibrating and Localising Robotic Vehicles,” PhD Thesis, Oxford, United Kingdom, 2013.

2012

•  R. Paul, “Long Term Appearance-based Mapping with Vision and Laser,” PhD Thesis, Oxford, United Kingdom, 2012.
•  I. Baldwin, “Large-Scale Urban Localisation with a Pushbroom LIDAR,” PhD Thesis, Oxford, United Kingdom, 2012.
•  W. Churchill, “Experience Based Navigation: Theory, Practice and Implementation,” PhD Thesis, Oxford, United Kingdom, 2012.

2011

•  R. Shade, “Choosing Where To Go: Mobile Robot Exploration,” PhD Thesis, Oxford, United Kingdom, 2011.

2010

•  A. Harrison, “Precision Timing and Measurement for Inference with Laser and Vision,” PhD Thesis, Oxford, United Kingdom, 2010.
•  L. Murphy, “Planning and Exploring Under Uncertainty,” PhD Thesis, Oxford, United Kingdom, 2010.

2009

•  M. Cummins, “Probabilistic Localization and Mapping in Appearance Space,” PhD Thesis, Oxford, United Kingdom, 2009.

2005

•  K. L. Ho, “Using Visual Saliency and Geometric Sensing for Mobile Robot Navigation,” PhD Thesis, Oxford, United Kingdom, 2005.

1999

•  P. Newman, “On the structure and solution of the simultaneous localization and mapping problem,” PhD Thesis, Sydney, Australia, 1999.