Photo of Tom Kent

Dr Tom Kent

MA, PhD

  • BS8 1UB

20122020

Research output per year

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Personal profile

Research interests

A post-doctoral research associate in Bristol University's Computer Science Department. Currently working on the T-B Phase project (Thales Bristol Partnership in Hybrid Autonomous Systems Engineering). I am interested in exploring how we can utilise AI, Machine Learning and Decision Making techniques within a number of key Multi-Agent Systems use-cases, e.g. Search and Rescue, Persistent Surveillance.

My previous research has included designing, implementing and testing a number of path planning and decision making algorithms for autonomous cars on the Venturer project. Additionally, I did my PhD in Aerospace Engineering at the University of Bristol. Developing an analytic, geometric approach to finding optimal routes for commercial formation flight.

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Projects

T-B PHASE: Prosperity Partnership with Thales

Wilson, R. E., Johnson, A., Bullock, S., Lawry, J., Richards, A. G., Noyes, J. M., Hauert, S., Bode, N. W. F., Wilson, R. E., Pitonakova, L., Kent, T., Crosscombe, M., Zanatto, D., Alkan, B., Drury, K. L., Hogg, E., Bonnell, W. D., Bennett, C. D., Clarke, C. E. M., Wisetjindawat, W., Potts, M. W., Ellinas, C., Sartor, P. N., Harvey, D., Rayneau-Kirkhope, B., Galvin, K., Lam, J., Barden, E. & Chattington, M.

1/10/1730/09/22

Project: Research

Research Output

  • 3 Article (Academic Journal)
  • 2 Conference Contribution (Conference Proceeding)
  • 2 Conference Paper

A Connected Autonomous Vehicle Testbed: Capabilities, Experimental Processes and Lessons Learned

Kent, T., Richards, A. G., Pipe, T., Hutchinson, J. & Schuster, W., 23 Jun 2020, In : Automation. p. 17-32 16 p., 2.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
File
  • 29 Downloads (Pure)

    The Potential of Formation Flight for Commercial Aviation: Three Case Studies

    Kent, T. & Richards, A. G., 21 Jul 2020, (Accepted/In press) In : Journal of Aircraft. 32 p.

    Research output: Contribution to journalArticle (Academic Journal)

  • Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem

    Kent, T. & Richards, A., 21 Mar 2019, (Accepted/In press) GECCO'19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: Association for Computing Machinery (ACM), Vol. 2019. p. 147-148 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
  • 83 Downloads (Pure)