Jeremy L Wyatt

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	すべて	2020 年以来
引用	5623	2022
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i10 指標	79	39

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Nick HawesOxford Robotics Institute, University of Oxford確認したメールアドレス: robots.ox.ac.uk
Marek KopickiUniversity of Birmingham確認したメールアドレス: cs.bham.ac.uk
Mohan SridharanChair in Robot Systems, School of Informatics, University of Edinburgh (UK)確認したメールアドレス: ed.ac.uk
Richard DeardenReader in Intelligent Robotics, University of Birmingham確認したメールアドレス: cs.bham.ac.uk
Gavin BrownProfessor of Machine Learning, Dept of Computer Science, University of Manchester確認したメールアドレス: manchester.ac.uk
Geert-Jan KruijffAmazon Music確認したメールアドレス: amazon.com
Aaron SlomanHonorary professor of artificial intelligence and cognitive science, School of Computer Science確認したメールアドレス: cs.bham.ac.uk
Michael ZillichVienna University of Technology確認したメールアドレス: tuwien.ac.at
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of Lincoln確認したメールアドレス: hanheide.net
Claudio ZitoAssistant Professor at MACS, Heriot-Watt University Dubai確認したメールアドレス: hw.ac.uk
Shiqi ZhangAssociate Professor of Computer Science, SUNY Binghamton確認したメールアドレス: binghamton.edu
Ales LeonardisProfessor of Computer Science確認したメールアドレス: cs.bham.ac.uk
Alper AydemirNASA JPL, Computer Vision Group確認したメールアドレス: jpl.nasa.gov
Michael GelfondProfessor of Computer Science, Texas Tech University確認したメールアドレス: ttu.edu
Danijel SkocajProfessor, University of Ljubljana確認したメールアドレス: fri.uni-lj.si
Patric JensfeltKTH Royal Institute of Technology確認したメールアドレス: kth.se
Thomas MörwaldVienna University of Technology確認したメールアドレス: acin.tuwien.ac.at
Verónica Esther Arriola RíosResearch Student, University of Birmingham確認したメールアドレス: cs.bham.ac.uk
Andrzej PronobisResearch Associate at University of Washington, Seattle確認したメールアドレス: cs.washington.edu
Funlade SunmolaUniversity of Hertfordshire, Hatfield, United Kingdom.確認したメールアドレス: herts.ac.uk

フォロー

Jeremy L Wyatt

Senior Principal Applied Scientist, Amazon

確認したメールアドレス: amazon.com

Artificial Intelligence Robotics Machine Learning Philosophy of Language


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Diversity creation methods: a survey and categorisation G Brown, J Wyatt, R Harris, X Yao Information fusion 6 (1), 5-20, 2005	1364	2005
Managing diversity in regression ensembles. G Brown, JL Wyatt, P Tino Journal of machine learning research 6 (9), 2005	508	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	265	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	200	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	162	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	135	2017
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	129	2020
Exploration and inference in learning from reinforcement J Wyatt University of Edinburgh. College of Science and Engineering. School of …, 1998	120	1998
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	110*	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	89	2007
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	83	2011
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	83	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	80	2010
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	75	2012
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	72	2015
Cognitive systems HI Christensen, GJ Kruijff, JL Wyatt Springer Verlag, 2010	65*	2010
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
Engineering intelligent information-processing systems with CAST N Hawes, J Wyatt Advanced Engineering Informatics 24 (1), 27-39, 2010	61	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	61	2010

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