Nick Hawes

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Bruno LacerdaOxford Robotics Institute - University of OxfordVerified email at robots.ox.ac.uk
Jeremy L WyattDirector, Applied Science, AmazonVerified email at amazon.com
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnVerified email at hanheide.net
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Lars KunzeOxford Robotics Institute, Dept. of Engineering Science, University of Oxford, UKVerified email at robots.ox.ac.uk
Michael ZillichVienna University of TechnologyVerified email at tuwien.ac.at
Paul DuckworthUniversity of OxfordVerified email at eng.ox.ac.uk
Danijel SkocajProfessor, University of LjubljanaVerified email at fri.uni-lj.si
Aaron SlomanHonorary professor of artificial intelligence and cognitive science, School of Computer ScienceVerified email at cs.bham.ac.uk
David ParkerProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Alper AydemirNASA JPL, Computer Vision GroupVerified email at jpl.nasa.gov
Richard DeardenReader in Intelligent Robotics, University of BirminghamVerified email at cs.bham.ac.uk
Marc RigterPostdoc, Applied AI Lab, University of OxfordVerified email at eng.ox.ac.uk
Andrzej PronobisResearch Associate at University of Washington, SeattleVerified email at cs.washington.edu
John D. KelleherProfessor of Computer Science, Hamilton Institute, Maynooth University, IrelandVerified email at mu.ie
Pierre LisonChief Research Scientist, Norsk RegnesentralVerified email at nr.no
Mohamed BaioumyOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk
John FolkessonAssociate Professor of Robotics, KTH SwedenVerified email at kth.se
Tomas KrajnikCzech Technical University in Prague, Artificial Intelligence CenterVerified email at fel.cvut.cz

Nick Hawes

Oxford Robotics Institute, University of Oxford

Verified email at robots.ox.ac.uk - Homepage

Artificial Intelligence Robotics


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The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017	230	2017
Artificial intelligence for long-term robot autonomy: A survey L Kunze, N Hawes, T Duckett, M Hanheide, T Krajník IEEE Robotics and Automation Letters 3 (4), 4023-4030, 2018	191	2018
Robot task planning and explanation in open and uncertain worlds M Hanheide, M Göbelbecker, GS Horn, A Pronobis, K Sjöö, A Aydemir, ... Artificial Intelligence 247, 119-150, 2017	175	2017
Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications B Lacerda, D Parker, N Hawes 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	94	2014
A survey of motivation frameworks for intelligent systems N Hawes Artificial Intelligence 175 (5-6), 1020-1036, 2011	91	2011
Towards an integrated robot with multiple cognitive functions N Hawes, A Sloman, J Wyatt, M Zillich, H Jacobsson, GJM Kruijff, ... AAAI 7, 1548-1553, 2007	86	2007
Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour M Hanheide, C Gretton, RW Dearden, NA Hawes, JL Wyatt, A Pronobis, ... Twenty-Second International Joint Conference on Artificial Intelligence, 2011	80	2011
Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction GJM Kruijff, P Lison, T Benjamin, H Jacobsson, N Hawes Symposium on Language and Robots, 2007	80	2007
Now or later? predicting and maximising success of navigation actions from long-term experience JP Fentanes, B Lacerda, T Krajník, N Hawes, M Hanheide 2015 IEEE international conference on robotics and automation (ICRA), 1112-1117, 2015	79	2015
Situated dialogue processing for human-robot interaction GJM Kruijff, P Lison, T Benjamin, H Jacobsson, H Zender, ... Cognitive systems, 311-364, 2010	75	2010
Autonomous learning of object models on a mobile robot T Fäulhammer, R Ambruş, C Burbridge, M Zillich, J Folkesson, N Hawes, ... IEEE Robotics and Automation Letters 2 (1), 26-33, 2016	71	2016
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. B Lacerda, D Parker, N Hawes IJCAI 15, 1587-1593, 2015	67	2015
Using qualitative spatial relations for indirect object search L Kunze, KK Doreswamy, N Hawes 2014 IEEE international conference on robotics and automation (ICRA), 163-168, 2014	66	2014
Mediating between qualitative and quantitative representations for task-orientated human-robot interaction. M Brenner, JD Kelleher, N Hawes, J Wyatt Technological University Dublin, 2007	66	2007
Crossmodal content binding in information-processing architectures H Jacobsson, N Hawes, GJ Kruijff, J Wyatt Proceedings of the 3rd ACM/IEEE international conference on Human robot …, 2008	59	2008
Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding L Kunze, C Burbridge, M Alberti, A Thippur, J Folkesson, P Jensfelt, ... 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	57	2014
Engineering intelligent information-processing systems with CAST N Hawes, J Wyatt Advanced Engineering Informatics 24 (1), 27-39, 2010	57	2010
Information fusion for visual reference resolution in dynamic situated dialogue GJM Kruijff, JD Kelleher, N Hawes Perception and Interactive Technologies: International Tutorial and Research …, 2006	56	2006
A system for interactive learning in dialogue with a tutor D Skočaj, M Kristan, A Vrečko, M Mahnič, M Janíček, GJM Kruijff, ... 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	55	2011
Probabilistic planning with formal performance guarantees for mobile service robots B Lacerda, F Faruq, D Parker, N Hawes The International Journal of Robotics Research 38 (9), 1098-1123, 2019	53	2019

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