About Tom Duckett
Tom Duckett is a Professor of Computer Science at the University of Lincoln, UK, where he also leads the Lincoln Centre for Autonomous Systems. His research interests include autonomous robots, artificial intelligence and machine perception, with applications including agri-food and assistive technologies. He worked previously at the Centre for Applied Autonomous Sensor Systems, Örebro University, Sweden, where he led the Learning Systems Laboratory. He obtained his PhD in the AI Group at the University of Manchester, UK. Prior to becoming an academic, he worked for several years as a programmer, developing and supporting software solutions for the fresh food industry. Tom has co-authored over 100 scientific publications (h-index: 37, Google Scholar) and held peer-reviewed grants worth over £3 million at the University of Lincoln.
Director of the Lincoln Centre for Autonomous Systems Research (L-CAS).
Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces
— Principal Investigator, Horizon 2020 Research and Innovation Action, £755,000, 2017-2020
Synthesis of remote sensing and ground truth sensors to develop high resolution soil moisture maps
— Co-Investigator, STFC Newton Fund, £787,000, 2016-19.
Development and Demonstration of an Automated Selective Broccoli Harvester
— Principal Investigator, AHDB, £70,000, 2016-19.
3D Vision-based Crop-Weed Discrimination for Automated Weeding
— Co-Investigator, Innovate UK, £89,000, 2016-17.
FLOBOT - Floor Washing Robot for Professional Users
— Co-Investigator, European Commission Horizon 2020 Innovation Action, £240,000, 2015-17.
3D Vision Assisted Robotic Harvesting of Broccoli
— Principal Investigator, BBSRC and Innovate UK, £88,000, 2015-16.
STRANDS: Spatial-Temporal Representation and Activities for Cognitive Control in Long-Term Scenarios
— Principal Investigator, European Commission FP7 Integrating Project, £725,000
Trainable Vision-based Anomaly Detection and Diagnosis
— Principal Investigator, Technology Strategy Board, £355,000, 2013-16.
Novel computer vision techniques for food quality analysis - identification of Bruchus rufimanus
— Co-Investigator, Technology Strategy Board, £24,000, 2013-14.
Autonomous control of agricultural sprayers
— Principal Investigator, Technology Strategy Board, £31,000, 2013-14.
Laser-based sensing technology for improved control of spraying booms
— Principal Investigator, BBSRC SPARK, £5000, 2012-13.
Low-cost automatic identification of potato blemishes
— Principal Investigator, HIRF Innovation Fellowship, £16,000, 2011-12.
Monitoring of heat sealed packaging using thermal and multi-spectral imaging
— Principal Investigator, Defra AFM-LINK, £60,000, 2011.
Quantitative estimation of blemishes in potatoes using machine vision
— Principal Investigator, EPSRC CASE, £81,000, 2006-10.
External Activities and Consultancy
Programme Committee, Robotics: Science and Systems Conference, MIT, Cambridge, Massachusetts, USA, July 12-16, 2017.
Programme Committee, AAAI-17 Special Track on Integrated Systems, The Thirty-First Conference on Artificial Intelligence, San Francisco, California, USA, Feb 4-9, 2017.
EPSRC College Member.