Staff Directory

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 service robotics. 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 120 scientific publications and held peer-reviewed grants worth over £3 million at the University of Lincoln.

Department Responsibilities

Director of the Lincoln Centre for Autonomous Systems Research (L-CAS).

Qualifications

  • PhD — University of Manchester , 2001
  • MSc — Heriot-Watt University, 1995
  • BSc (Hons) — Warwick University, 1991

Orcid ID

0000-0003-2971-7905

Research Groups Memberships

Research Projects

  • Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces — awarded £755000 by Horizon 2020 (Research and Innovation Action) in 2017
  • Synthesis of remote sensing and ground truth sensors to develop high resolution soil moisture maps — awarded £787000 by STFC Newton Fund in 2016
  • Development and Demonstration of an Automated Selective Broccoli Harvester — awarded £70000 by AHDB in 2016
  • 3D Vision-based Crop-Weed Discrimination for Automated Weeding — awarded £89000 by BBSRC and Innovate UK in 2016
  • FLOBOT - Floor Washing Robot for Professional Users — awarded £240000 by Horizon 2020 (Innovation Action) in 2015
  • 3D Vision Assisted Robotic Harvesting of Broccoli — awarded £88000 by BBSRC and Innovate UK in 2015
  • STRANDS: Spatial-Temporal Representation and Activities for Cognitive Control in Long-Term Scenarios — awarded £725000 by EU FP7 (Integrating Project) in 2013
  • Trainable Vision-based Anomaly Detection and Diagnosis — awarded £355000 by Technology Strategy Board in 2013
  • Novel computer vision techniques for food quality analysis - identification of Bruchus rufimanus — awarded £24000 by Technology Strategy Board in 2013
  • Autonomous control of agricultural sprayers — awarded £31000 by Technology Strategy Board in 2013
  • Laser-based sensing technology for improved control of spraying booms — awarded £5000 by BBSRC (SPARK Award) in 2012
  • Low-cost automatic identification of potato blemishes — awarded £16000 by EMDA and ERDF (Innovation Fellowship) in 2011
  • Quantitative estimation of blemishes in potatoes using machine vision — awarded £81000 by EPSRC (Industrial CASE Award) in 2006

Research in the Lincoln Repository