UNSW AI & Robotics Research
@UNSWRoboCup

Publications

Detailed lists of publications from the researches in our group are available on the following respective pages:

Recent Publications

Our most recent publications include:

  1. Muggleton, S., Dai, W.-Z., Sammut, C., Tamaddoni-Nezhad, A., Wen, J., and Zhou, Z.-H. Meta-interpretive learning from noisy images. Machine Learning, 107(7):1097 – 1118. 2018.
  2. Wicaksono, H. and Sammut, C. (2018). Tool use learning for a real robot. International Journal of Electrical and Computer Engineering (IJECE), 8(2):1230–1237. 2018.
  3. Wiley, T., Bratko, I., and Sammut, C. A machine learning system for controlling a rescue robot. In Akiyama, H., Obst, O., Sammut, C., and Tonidandel, F., editors, RoboCup 2017: Robot World Cup XXI, pp. 108–119, Cham. Springer International Publishing. 2018.
  4. Sammut, C. and Webb, G. Encyclopedia of Machine Learning and Data Mining. Springer. 2017
  5. D. Rajaratnam, B. Hengst, M. Pagnucco, C. Sammut and M. Thielscher, Composability in Cognitive HierarchiesProceedings of the 29th Australasian Joint Conference on Artificial Intelligence, pp. 42-55, Hobart, Australia, 2016.
  6. H. Wicaksono and C. Sammut, Relational Tool Use Learning by a Robot in a Real and Simulated World, Proceedings of the 2016 Australasian Conference on Robotics and Automation, Brisbane, Australia, 2016.
  7. B. Hengst, C. Keith, M. Pagnucco, D. Rajaratnam, P. Robinson, C. Sammut, and M. Thielscher, A framework for integrating symbolic and sub-symbolic representations. Proceedings of the 25th International Joint Conference on Artificial Intelligence IJCAI-16. New York, New York, USA, 2016.
  8. M. Thielscher. Sampling-Based Belief Revision. Proceedings of the 25th International Joint Conference on Artificial Intelligence IJCAI-16. New York, New York, USA, 2016.
  9. M. Thielscher. GDL-III: a proposal to extend the game description language to general epistemic games. Proceedings of the 22nd European Conference on Artificial Intelligence. pp. 1630-1631, The Hague, The Netherlands. 2016.
  10. T. Wiley, C. Sammut, B. Hengst, and I. Bratko, A Planning and Learning Hierarchy using Qualitative Reasoning for the On-Line Acquisition of Robotic Behaviors. Advances in Cognitive Systems. 4, pp. 93-112, 2016.
  11. T. Cazenave, A. Saffidine, M. Schofield and M. Thielscher. Nested Monte Carlo Search for Two-player Games. Proceedings of the 30th AAAI Conference on Artificial Intelligence. pp. 687-693, Phoenix, USA, 2016.
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