Research output per year
Research output per year
Personal profile
Research Interests
My research interests are primarily in the areas of Bayesian machine learning, signal processing and time series prediction. I have also worked in autonomous systems including the development of novel robot concepts and algorithms for autonomous navigation, control and simultaneous localisation and mapping.
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Professor Dodd's research focuses on primarily in the areas of bayesian machine learning, signal processing and time series prediction.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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A Novel Approach of Estimating the Kinematics for a Manta Ray Inspired Swimming Mobile Robot
Yusof, M. I., Afira, M. A. & Dodd, T., 1 Jun 2022, Advanced Structured Materials. Springer, p. 199-211 13 p. (Advanced Structured Materials; vol. 174).Research output: Chapter in Book/Published conference output › Chapter
4 Link opens in a new tab Citations (Scopus) -
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review
Aitken, J. M., Evans, M. H., Worley, R., Edwards, S., Zhang, R., Dodd, T., Mihaylova, L. & Anderson, S. R., 27 Sept 2021, In: IEEE Access. 9, p. 140173-140198 26 p.Research output: Contribution to journal › Review article › peer-review
Open Access94 Link opens in a new tab Citations (SciVal) -
Robot localization in water pipes using acoustic signals and pose graph optimization
Worley, R., Ma, K., Sailor, G., Schirru, M. M., Dwyer-Joyce, R., Boxall, J., Dodd, T., Collins, R. & Anderson, S., 29 Sept 2020, In: Sensors (Switzerland). 20, 19, p. 1-23 23 p., 5584.Research output: Contribution to journal › Article › peer-review
Open Access19 Link opens in a new tab Citations (Scopus) -
Simulation of the behavior of biologically-inspired swarm robots for the autonomous inspection of buried pipes
Parrott, C., Dodd, T. J., Boxall, J. & Horoshenkov, K., Jul 2020, In: Tunnelling and Underground Space Technology. 101, 13 p., 103356.Research output: Contribution to journal › Article › peer-review
Open Access18 Link opens in a new tab Citations (Scopus) -
Supervisory Control of Robot Swarms Using Public Events
Lopes, Y. K., Trenkwalder, S. M., Leal, A. B., Dodd, T. J. & Groß, R., 15 Sept 2020, (E-pub ahead of print) 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. IEEE, p. 7193-7199 7 p. 9197418. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Published conference output › Conference publication
Open Access4 Link opens in a new tab Citations (Scopus)