2008: PhD, Marine Robotics, The Australian Centre for Field Robotics, The University of Sydney
2000: MEng (Hons) Mechanical Engineering, The University of Liverpool, UK
Rigby P, Pizarro O, Williams SB (2014) Estimation of clustering parameters using Gaussian process regression. PLoS ONE 9(11): e111522
Rigby P, Steinberg CR, Williams DK, Brinkman G, Brinkman R, Tonin H, Hughes D (2014) Real-time Marine observing systems: Challenges, benefits and opportunities in Australian coastal waters. Australian Journal of Civil Engineering 12(1): 83-99
Rigby P, Steinberg C, Williams DK (2014) Darwin National Reference Station and Beagle Gulf Mooring, Deployment Dates: January 2014 to September 2014. Data and Servicing Report to Darwin Port Corporation. Australian Institute of Marine Science Townsville (26p)
Rigby P, Williams DK, Steinberg C (2014) Darwin National Reference Station, Deployment Dates: June 2013 - January 2014. Data and Servicing Report to Darwin Port Corporation. Australian Institute of Marine Science Townsville (15p)
Williams DK, Steinberg C, Rigby P, Brinkman R, Spagnol S (2013) Observations in support of port activities: recent developments and future opportunities for Darwin Harbour, Northern Territory, Australia", Proceedings of Coasts and Ports, Sydney
Rigby P, Pizarro O, Williams SB (2010) Toward adaptive benthic habitat mapping using Gaussian process classification. Journal of Field Robotics 27: 741-758
Pizarro O, Rigby P, Johnson-Roberson M,Williams SB, Colquhoun J (2008) Image based Habitat Classification" Proceedings of MTS/IEEE Oceans Quebec.
Rigby P et al (2007) Effective Benthic Surveying with Autonomous Underwater Vehicles. Proceedings of MTS/IEEE Oceans Vancouver.
Rigby P, Pizarro O, Williams SB (2007) Improved AUV Navigation Through Multi-Sensor Data Fusion. Sea Technology 26: 55-74
Rigby P, Pizarro O, Williams SB (2006) Towards Geo-Referenced Navigation Through Fusion of USBL and DVL Measurements. Proceedings of IEEE/MTS Oceans Boston.
Rigby P, Williams SB (2005) Adaptive Sensing for Localisation of an Autonomous Underwater Vehicle. Proceedings of Australasian Conference for Robotics and Automation.