Jeremy L Wyatt

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Nick HawesOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk
Marek KopickiUniversity of BirminghamVerified email at cs.bham.ac.uk
Mohan SridharanChair in Robot Systems, School of Informatics, University of Edinburgh (UK)Verified email at ed.ac.uk
Richard DeardenReader in Intelligent Robotics, University of BirminghamVerified email at cs.bham.ac.uk
Gavin BrownProfessor of Machine Learning, Dept of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
Aaron SlomanHonorary professor of artificial intelligence and cognitive science, School of Computer ScienceVerified email at cs.bham.ac.uk
Michael ZillichVienna University of TechnologyVerified email at tuwien.ac.at
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnVerified email at hanheide.net
Claudio ZitoAssistant Professor at MACS, Heriot-Watt University DubaiVerified email at hw.ac.uk
Shiqi ZhangAssociate Professor of Computer Science, SUNY BinghamtonVerified email at binghamton.edu
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Alper AydemirNASA JPL, Computer Vision GroupVerified email at jpl.nasa.gov
Michael GelfondProfessor of Computer Science, Texas Tech UniversityVerified email at ttu.edu
Danijel SkocajProfessor, University of LjubljanaVerified email at fri.uni-lj.si
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Thomas MörwaldVienna University of TechnologyVerified email at acin.tuwien.ac.at
Verónica Esther Arriola RíosResearch Student, University of BirminghamVerified email at cs.bham.ac.uk
Andrzej PronobisResearch Associate at University of Washington, SeattleVerified email at cs.washington.edu
Funlade SunmolaUniversity of Hertfordshire, Hatfield, United Kingdom.Verified email at herts.ac.uk

Jeremy L Wyatt

Director, Applied Science, Amazon

Verified email at amazon.com

Artificial Intelligence Robotics Machine Learning Philosophy of Language


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Diversity creation methods: a survey and categorisation G Brown, J Wyatt, R Harris, X Yao Information fusion 6 (1), 5-20, 2005	1341	2005
Managing diversity in regression ensembles. G Brown, JL Wyatt, P Tino Journal of machine learning research 6 (9), 2005	501	2005
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	260	2017
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	195	2017
One-shot learning and generation of dexterous grasps for novel objects M Kopicki, R Detry, M Adjigble, R Stolkin, A Leonardis, JL Wyatt The International Journal of Robotics Research 35 (8), 959-976, 2016	158	2016
Functional object class detection based on learned affordance cues M Stark, P Lies, M Zillich, J Wyatt, B Schiele Computer Vision Systems: 6th International Conference, ICVS 2008 Santorini …, 2008	141	2008
Slurs, roles and power M Popa-Wyatt, JL Wyatt Philosophical Studies, 2017	121	2017
Exploration and inference in learning from reinforcement J Wyatt University of Edinburgh. College of Science and Engineering. School of …, 1998	120	1998
Modeling of deformable objects for robotic manipulation: A tutorial and review VE Arriola-Rios, P Guler, F Ficuciello, D Kragic, B Siciliano, JL Wyatt Frontiers in Robotics and AI 7, 82, 2020	117	2020
REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics M Sridharan, M Gelfond, S Zhang, J Wyatt Journal of Artificial Intelligence Research 65, 2019	106*	2019
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	87	2007
Learning to predict how rigid objects behave under simple manipulation M Kopicki, S Zurek, R Stolkin, T Mörwald, J Wyatt 2011 IEEE international conference on robotics and automation, 5722-5729, 2011	84	2011
Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour M Hanheide, C Gretton, R Dearden, N Hawes, J Wyatt, A Pronobis, ... IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	81	2011
Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs M Sridharan, J Wyatt, R Dearden Artificial Intelligence 174 (11), 704-725, 2010	79	2010
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds S Zhang, M Sridharan, JL Wyatt IEEE Transactions on Robotics 31 (3), 699 - 713, 2015	74	2015
Two-level RRT planning for robotic push manipulation C Zito, R Stolkin, M Kopicki, JL Wyatt Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012	67	2012
Mediating between qualitative and quantitative representations for task-orientated human-robot interaction. M Brenner, JD Kelleher, N Hawes, J Wyatt Technological University Dublin, 2007	65	2007
Cognitive systems HI Christensen, GJ Kruijff, JL Wyatt Springer Verlag, 2010	64*	2010
Engineering intelligent information-processing systems with CAST N Hawes, J Wyatt Advanced Engineering Informatics 24 (1), 27-39, 2010	60	2010
Correlation-based intrinsic image extraction from a single image X Jiang, AJ Schofield, JL Wyatt Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	60	2010

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