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 SridharanReader in Cognitive Robot Systems, School of Computer Science, University of Birmingham (UK)Verified email at bham.ac.uk
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.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
Aaron SlomanHonorary professor of artificial intelligence and cognitive science, School of Computer ScienceVerified email at cs.bham.ac.uk
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
Michael ZillichVienna University of TechnologyVerified email at tuwien.ac.at
Shiqi ZhangAssociate Professor of Computer Science, SUNY BinghamtonVerified email at binghamton.edu
Claudio ZitoLead Scientist @ARRC-TII (UAE); Honorary Research Fellow @CNCR UoB (UK)Verified email at tii.ae
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnVerified email at hanheide.net
Michael GelfondProfessor of Computer Science, Texas Tech UniversityVerified email at ttu.edu
Alper AydemirNASA JPL, Computer Vision GroupVerified email at jpl.nasa.gov
Danijel SkocajProfessor, University of LjubljanaVerified email at fri.uni-lj.si
Thomas MörwaldVienna University of TechnologyVerified email at acin.tuwien.ac.at
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Andrzej PronobisResearch Associate at University of Washington, SeattleVerified email at cs.washington.edu
Verónica Esther Arriola RíosResearch Student, University of BirminghamVerified email at cs.bham.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	1290	2005
Managing diversity in regression ensembles. G Brown, JL Wyatt, P Tino Journal of machine learning research 6 (9), 2005	476	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	230	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	175	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	154	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
Exploration and inference in learning from reinforcement J Wyatt University of Edinburgh. College of Science and Engineering. School of …, 1998	119	1998
Slurs, roles and power M Popa-Wyatt, JL Wyatt Philosophical Studies, 2017	101	2017
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	97*	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	86	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	82	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	80	2011
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	79	2020
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	77	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	70	2015
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
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	62	2012
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
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
Cognitive systems HI Christensen, GJ Kruijff, JL Wyatt Springer Verlag, 2010	58*	2010

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