1. Sanfilippo, F., Zafar, H. M., Wiley, T., & Zambetta, F. (2024) From Caged Robots to High-Fives in Robotics: Exploring the Paradigm Shift from Human-Robot Interaction to Human-Robot Teaming in Human-Machine Interfaces. Journal of Manufacturing Systems. (in press).
2. Dixon, B., Fayek, H., Hodgen, C., Wiley, T., & Barter, S., (2024) Optimising fatigue crack growth predictions for small cracks under variable amplitude loading. International Journal of Fatigue. Volume 185, 108339. ISSN 0142-1123. DOI 10.1016/j.ijfatigue.2024.108339.
3. Wiley, T., Sammut, C., Hengst, B., & Bratko, I. (2016). A Planning and Learning Hierarchy using Qualitative Reasoning for the On-Line Acquisition of Robotic Behaviors. Advances in Cognitive Systems. 4, pp. 93-112
4. Milstein, A., McGill, M., Wiley, T., Salleh, R., & Sammut, C. (2011). A Method for Fast Encoder-Free Mapping in Unstructured Environments. Journal of Fields Robotics: Special Issue on Safety, Security, and Rescue Robotics. 28(6), pp. 817-831.

1. Sammut, C., Farid, R., Wicaksono, H., & Wiley, T. (2021). Logic-Based Robotics in Human-Like Machine Intelligence. pp. 465-486, Muggleton, S., Chater, N. Eds, Oxford University Press, ISBN 9780198862536.

1. Stiemer, L., Martinez Groves-Raines, M., Wood, L., Mohamed, A. & Wiley, T. (2024) Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-Inspired Wing. In AI 2024: Advances in Artificial Intelligence. Lecture Notes in Computer Science. vol 15443 Springer. (in press).
2. Ord, S., Marino, M., & Wiley, T. (2024) Modernising Delivery: A Low-Energy Tethered Package System using Fixed-Wing Drones. Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). (in press).
3. Owens, M., & Wiley, T. (2024) Lightweight Real-Time Gesture Recognition for Dynamic Soccer Referee Signals. Proceedings of the 2024 RoboCup Symposium. (in press).
4. Lohani, P., & Wiley, T. (2024) Hybrid Methods for Real-time Video Sequence Identification of Human Soccer Referee Signals. In: Buche, C., Rossi, A., Simões, M., Visser, U. (eds). RoboCup 2023: Robot World Cup XXVI. Lecture Notes in Computer Science. vol 14140. Springer, Cham. DOI 10.1007/978-3-031-55015-7_12
5. Abbasnejad, I., Zambetta, F., Salim, F., Wiley, T., Chan, J., Gallagher, R., & Abbasnejad, E., (2023) SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Vol. 11, pp. 1111–1120.
6. Trofimova, A., Wiley, T., Pagnucco, M., & Velonaki, M., (2019) Exploring Human Machine-Mediated Interaction for Applications in Social HRI. Proceedings of the 31st Australian Conference on Computer-Human Interaction, Perth, Australia, pp. 1–5.
7. Wiley, T. (2018). Influences on the morphology and behaviour of social robots operating in the workplace. (Contributed Talk). 3rd Joint UAE Symposium on Social Robotics. UAE.
8. Wiley, T., Bratko, I., & Sammut, C. (2018). A Machine Learning System for Controlling a Rescue Robot. Lecture Notes in Computer Science (RoboCup 2017: Robot World Cup XXI), vol. 11175, pp. 108 - 119, Springer, https://doi.org/10.1007/978-3-030-00308-1_9.
9. Wiley, T., Sammut, C., Hengst, B., & Bratko, I. (2015). A Multi-Strategy Architecture for On-Line Learning of Robotic Behaviours using Qualitative Reasoning. Proceedings of the Third Annual Conference on Advances in Cognitive Systems. Atlanta, USA, pp. 1-16.
10. Wiley, T., Sammut, C., & Bratko, I. (2014). Qualitative Simulation with Answer Set Programming. Proceedings of the 21st European Conference on Artificial Intelligence. Prague, Czech Republic, pp. 915-920.
11. Wiley, T., Sammut, C., & Bratko, I. (2014). Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. Proceedings of the 28th AAAI Conference on Artificial Intelligence. Quebec City, Canada, pp. 2578-2584.
12. Wiley, T., Sammut, C., & Bratko, I. (2013). Planning with Qualitative Models for Robotic Domains. Poster Collection in the Second Annual Conference on Advances in Cognitive Systems. Baltimore, USA, pp. 251-266.
13. Wiley, T., Sammut, C., & Bratko, I. (2013). Using Planning with Qualitative Simulation for Multistrategy Learning of Robotic Behaviours. Proceedings of the 27th International Workshop on Qualitative Reasoning. Bremen, Germany, pp. 24-31.
14. Wiley, T. (2013). Multi-Strategy Learning of Robotic Behaviours via Qualitative Reasoning. Proceedings of the AAAI-SIGART Doctoral Consortium in the 27th AAAI Conference on Artificial Intelligence. Seattle, USA, pp. 1682-1683.
15. Wiley, T., McGill, M., Milstein, A., Salleh, R., & Sammut, C. (2012). Spatial Correlation of Multi-Sensor Features for Autonomous Victim Identification. Lecture Notes in Computer Science. RoboCup 2011: Robot Soccer World Cup XV. ed. by T. Röfer, N. M. Mayer, J. Savage, & U. Saranli. Springer Berlin / Heidelberg, pp. 538-549.
16. McGill, M., Salleh, R., Wiley, T., Ratter, A., Farid, R., & Sammut, C. (2012). Virtual Reconstruction Using an Autonomous Robot. Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation. Sydney Australia, pp. 1-8.
17. Milstein, A., McGill, M., Wiley, T., Salleh, R., & Sammut, C. (2011). Occupancy Voxel Metric Based Iterative Closest Point for Position Tracking in 3D Environments. Proceedings of the 2011 IEEE International Conference on Robotics and Automation. pp. 4048-4053.

1. Wiley, T., Peake, I., Babayigit, S., Ellis, T., George, B., Griffiths, S., Pham, M. H., Phillips, & C., Zhong Zhen, K. (2024). RedbackBots Soccer SPL Ball Ramp. AI Innovation Lab, School of Computing Technologies, RMIT University, Melbourne, Australia.
2. Wiley, T., Thangarajah, J., Abothu, R., Avice Demay, J., Bajaj, H., Chan, H. Y. S., Cao, M., Ellis, T., Field, M., Ganji, R., Griffiths, S., Lamb, C., Lohani, P., Mullan, L., Owens, M., Pauckner, J., Perez, R., Putter, M., Sandoval Rodriguez, A., Stephens, J., & Thom, J. (2024) RedbackBots Team Report - RoboCup Soccer SPL 2024, Technical Report, AI Innovation Lab, School of Computing Technologies, RMIT University, Melbourne, Australia.
3. Wiley, T., Thangarajah, J. Bhaskar, V., Avice Demay, J., Ellis, T., Griffiths, S., Hermanto, D., Jain, A., Matthews, L., Mullan, L., Owens, M., Toh, K. H., Samarakoon, R., & Sun, J., (2023) RedbackBots Team Report - RoboCup Soccer SPL 2023, Technical Report, AI Innovation Lab, School of Computing Technologies, RMIT University, Melbourne, Australia.
4. Wiley, T., Sammut, C., & Bratko, I. (2014). Qualitative Simulation with Answer Set Programming. The School of Computer Science and Engineering, The University of New South Wales. Technical Report. (UNSW-CSE-TR-201415).

Wiley, T. (2017). A Planning and Learning Hierarchy for the Online Acquisition of Robot Behaviours, School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia.
Supervisors: Dr. Claude Sammut, Dr. Bernhard Hengst

Wiley, T. (2010). Autonomous Victim Identification, The University of New South Wales.
Supervisor: Dr. Claude Sammut, Assessor: Dr. Bernhard Hengst