Jay Young - Publications

Also available on Google Scholar.

2017

  • Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, and Barbara Caputo.
    Semantic Web-Mining and Deep Vision for Lifelong Object Discovery. In IEEE International Conference on Robotics and Automation (ICRA). [PDF]
  • Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, and Barbara Caputo. Making Sense of Indoor Spaces using Semantic Web Mining and Situated Robot Perception. In 1st International Workshop on Application of Semantic Web technologies in Robotics (AnSWeR). [PDF]

2016

  • Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrova, Jay Young, Jeremy Wyatt, Denise Hebesberger, Tobias Kortner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomas Krajnik, Joao M. Santos, Tom Duckett, Marc Hanheide. The STRANDS Project: Long-Term Autonomy in Everyday Environments. In IEEE Robotics and Automation Magazine. [PDF]
  • Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio and Nick Hawes. Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. In Proceedings of the European Conference on Artificial Intelligence (ECAI). [PDF]

2015

  • Jay Young and Nick Hawes. Learning by Observation Using Qualitative Spatial Relations. In In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems. [PDF]

2014

  • Jay Young and Nick Hawes. Learning Micro-Management Skills in RTS Games by Imitating Experts. In In Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. [PDF]
  • Jay Young and Nick Hawes. Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System. In Proceedings of the AAAI 2014 Spring Symposium on Qualitative Representations for Robots. [PDF]

2013

  • Jay Young and Nick Hawes. Predicting Situated Behaviour Using Sequences Of Abstract Spatial Relations. In Proceedings of the AAAI 2013 Fall Symposium "How Should Intelligence be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or _____?". [PDF]

2012

  • Jay Young and Nick Hawes. Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. In Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-12). [PDF]
  • Jay Young, Fran Smith, Christopher Atkinson, Ken Poyner and Tom Chothia. SCAIL: An integrated Starcraft AI System. In Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games (CIG-12). [PDF]