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Jeremy L. Wyatt
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2020 – today
- 2023
- [j23]Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt:
Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47(1): 121-138 (2023) - [j22]Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt:
Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47(8): 1593 (2023) - 2022
- [j21]Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Jeremy L. Wyatt:
Deep Dexterous Grasping of Novel Objects From a Single View. Int. J. Humanoid Robotics 19(2): 2250011:1-2250011:30 (2022) - 2020
- [j20]Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt:
Museum robot guides or conventional audio guides? An experimental study. Adv. Robotics 34(24): 1571-1580 (2020) - [j19]Veronica Esther Arriola-Rios, Püren Güler, Fanny Ficuciello, Danica Kragic, Bruno Siciliano, Jeremy L. Wyatt:
Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review. Frontiers Robotics AI 7: 82 (2020) - [j18]Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt:
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics Auton. Syst. 133: 103629 (2020)
2010 – 2019
- 2019
- [j17]Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt:
Learning better generative models for dexterous, single-view grasping of novel objects. Int. J. Robotics Res. 38(10-11) (2019) - [j16]Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt:
REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. J. Artif. Intell. Res. 65: 87-180 (2019) - [c51]Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt:
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR 2019: 1-6 - [c50]Michael J. Mathew, Saif Sidhik, Mohan Sridharan, Morteza Azad, Akinobu Hayashi, Jeremy L. Wyatt:
Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control. Humanoids 2019: 222-229 - [c49]Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt:
Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. RO-MAN 2019: 1-7 - [i14]Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt:
Hypothesis-based Belief Planning for Dexterous Grasping. CoRR abs/1903.05517 (2019) - [i13]Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt:
Generative grasp synthesis from demonstration using parametric mixtures. CoRR abs/1906.11548 (2019) - [i12]Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt:
Learning better generative models for dexterous, single-view grasping of novel objects. CoRR abs/1907.06053 (2019) - [i11]Andrey Barsky, Claudio Zito, Hiroki Mori, Tetsuya Ogata, Jeremy L. Wyatt:
Multisensory Learning Framework for Robot Drumming. CoRR abs/1907.09775 (2019) - [i10]Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt:
Deep Dexterous Grasping of Novel Objects from a Single View. CoRR abs/1908.04293 (2019) - 2018
- [j15]Carlos J. Rosales, Federico Spinelli, Marco Gabiccini, Claudio Zito, Jeremy L. Wyatt:
GPAtlasRRT: A Local Tactile Exploration Planner for Recovering the Shape of Novel Objects. Int. J. Humanoid Robotics 15(1): 1850014:1-1850014:27 (2018) - [c48]Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes:
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS 2018: 1906-1913 - 2017
- [j14]Marc Hanheide, Moritz Göbelbecker, Graham S. Horn, Andrzej Pronobis, Kristoffer Sjöö, Alper Aydemir, Patric Jensfelt, Charles Gretton, Richard Dearden, Miroslav Janícek, Hendrik Zender, Geert-Jan M. Kruijff, Nick Hawes, Jeremy L. Wyatt:
Robot task planning and explanation in open and uncertain worlds. Artif. Intell. 247: 119-150 (2017) - [j13]Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Mörwald, Jeremy L. Wyatt:
Learning modular and transferable forward models of the motions of push manipulated objects. Auton. Robots 41(5): 1061-1082 (2017) - [j12]Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, 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, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017) - [j11]Veronica Esther Arriola-Rios, Jeremy L. Wyatt:
A Multimodal Model of Object Deformation Under Robotic Pushing. IEEE Trans. Cogn. Dev. Syst. 9(2): 153-169 (2017) - [c47]Lars Kunze, Mohan Sridharan, Christos Dimitrakakis, Jeremy L. Wyatt:
Adaptive sampling-based view planning under time constraints. ECMR 2017: 1-6 - [c46]Ermano Arruda, Michael J. Mathew, Marek Sewer Kopicki, Michael N. Mistry, Morteza Azad, Jeremy L. Wyatt:
Uncertainty averse pushing with model predictive path integral control. Humanoids 2017: 497-502 - [i9]Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki:
Active vision for dexterous grasping of novel objects. CoRR abs/1708.04185 (2017) - [i8]Ermano Arruda, Michael J. Mathew, Marek Sewer Kopicki, Michael N. Mistry, Morteza Azad, Jeremy L. Wyatt:
Uncertainty Averse Pushing with Model Predictive Path Integral Control. CoRR abs/1710.04005 (2017) - 2016
- [j10]Marek Sewer Kopicki, Renaud Detry, Maxime Adjigble, Rustam Stolkin, Ales Leonardis, Jeremy L. Wyatt:
One-shot learning and generation of dexterous grasps for novel objects. Int. J. Robotics Res. 35(8): 959-976 (2016) - [j9]Danijel Skocaj, Alen Vrecko, Marko Mahnic, Miroslav Janícek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L. Wyatt, Thomas Keller, Kai Zhou, Michael Zillich, Matej Kristan:
An integrated system for interactive continuous learning of categorical knowledge. J. Exp. Theor. Artif. Intell. 28(5): 823-848 (2016) - [c45]Jeremy L. Wyatt:
Robots in our world. ICAC 2016: 2 - [c44]Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis:
Towards deep compositional networks. ICPR 2016: 3470-3475 - [c43]Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki:
Active vision for dexterous grasping of novel objects. IROS 2016: 2881-2888 - [c42]Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes, Tomás Krajník:
A Poisson-spectral model for modelling temporal patterns in human data observed by a robot. IROS 2016: 4013-4018 - [i7]Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR abs/1604.04384 (2016) - [i6]Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis:
Towards Deep Compositional Networks. CoRR abs/1609.03795 (2016) - [i5]Marek Sewer Kopicki, Carlos J. Rosales, Hamal Marino, Marco Gabiccini, Jeremy L. Wyatt:
Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands. CoRR abs/1609.07592 (2016) - 2015
- [j8]Shiqi Zhang, Mohan Sridharan, Jeremy L. Wyatt:
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. IEEE Trans. Robotics 31(3): 699-713 (2015) - [c41]Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis:
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV 2015: 1662-1670 - [i4]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR abs/1501.05192 (2015) - [i3]Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt:
A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. CoRR abs/1508.03891 (2015) - 2014
- [c40]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) 2014: 566-581 - [c39]Vladislav Kramarev, Sebastian Zurek, Jeremy L. Wyatt, Ales Leonardis:
Object Categorization from Range Images Using a Hierarchical Compositional Representation. ICPR 2014: 586-591 - [c38]Marek Sewer Kopicki, Renaud Detry, Florian Schmidt, Christoph Borst, Rustam Stolkin, Jeremy L. Wyatt:
Learning dexterous grasps that generalise to novel objects by combining hand and contact models. ICRA 2014: 5358-5365 - [c37]Dominik Belter, Marek Sewer Kopicki, Sebastian Zurek, Jeremy L. Wyatt:
Kinematically optimised predictions of object motion. IROS 2014: 4422-4427 - [c36]Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt:
Towards an Architecture for Knowledge Representation and Reasoning in Robotics. ICSR 2014: 400-410 - [i2]Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt:
KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. CoRR abs/1405.0999 (2014) - 2013
- [j7]José I. Nuñez-Varela, Jeremy L. Wyatt:
Models of gaze control for manipulation tasks. ACM Trans. Appl. Percept. 10(4): 20:1-20:22 (2013) - [c35]Claudio Zito, Marek Sewer Kopicki, Rustam Stolkin, Christoph Borst, Florian Schmidt, Máximo A. Roa, Jeremy L. Wyatt:
Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty. IROS 2013: 4013-4020 - 2012
- [c34]José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt:
Where do i look now? Gaze allocation during visually guided manipulation. ICRA 2012: 4444-4449 - [c33]Claudio Zito, Rustam Stolkin, Marek Sewer Kopicki, Jeremy L. Wyatt:
Two-level RRT planning for robotic push manipulation. IROS 2012: 678-685 - [c32]José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt:
Gaze Allocation Analysis for a Visually Guided Manipulation Task. SAB 2012: 44-53 - 2011
- [c31]Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt:
Shadow Detection based on Colour Segmentation and Estimated Illumination. BMVC 2011: 1-11 - [c30]Thomas Morwald, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt, Sebastian Zurek, Michael Zillich, Markus Vincze:
Predicting the unobservable Visual 3D tracking with a probabilistic motion model. ICRA 2011: 1849-1855 - [c29]Damien Jade Duff, Thomas Morwald, Rustam Stolkin, Jeremy L. Wyatt:
Physical simulation for monocular 3D model based tracking. ICRA 2011: 5218-5225 - [c28]Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Morwald, Jeremy L. Wyatt:
Learning to predict how rigid objects behave under simple manipulation. ICRA 2011: 5722-5729 - [c27]Marc Hanheide, Charles Gretton, Richard Dearden, Nick Hawes, Jeremy L. Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Göbelbecker, Hendrik Zender:
Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. IJCAI 2011: 2442-2449 - [c26]Veronica Esther Arriola-Rios, Jeremy L. Wyatt:
2D Mass-spring-like Model for Prediction of a Sponge's Behaviour upon Robotic Interaction. SGAI Conf. 2011: 195-208 - [i1]Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters:
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports 1(3): 67-95 (2011) - 2010
- [j6]Nick Hawes, Jeremy L. Wyatt:
Engineering intelligent information-processing systems with CAST. Adv. Eng. Informatics 24(1): 27-39 (2010) - [j5]Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden:
Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. Artif. Intell. 174(11): 704-725 (2010) - [j4]Jeremy L. Wyatt, Alper Aydemir, Michael Brenner, Marc Hanheide, Nick Hawes, Patric Jensfelt, Matej Kristan, Geert-Jan M. Kruijff, Pierre Lison, Andrzej Pronobis, Kristoffer Sjöö, Alen Vrecko, Hendrik Zender, Michael Zillich, Danijel Skocaj:
Self-Understanding and Self-Extension: A Systems and Representational Approach. IEEE Trans. Auton. Ment. Dev. 2(4): 282-303 (2010) - [c25]Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt:
Correlation-Based Intrinsic Image Extraction from a Single Image. ECCV (4) 2010: 58-71 - [c24]Damien Jade Duff, Jeremy L. Wyatt, Rustam Stolkin:
Motion estimation using physical simulation. ICRA 2010: 1511-1517 - [p4]Henrik I. Christensen, Aaron Sloman, Geert-Jan M. Kruijff, Jeremy L. Wyatt:
Cognitive Systems Introduction. Cognitive Systems 2010: 3-48 - [p3]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman, Geert-Jan M. Kruijff:
Architecture and Representations. Cognitive Systems 2010: 51-93 - [p2]Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt:
Multi-modal Learning. Cognitive Systems 2010: 265-309 - [p1]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Marek Sewer Kopicki, Somboon Hongeng, Ian Calvert, Aaron Sloman, Geert-Jan M. Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, Alen Vrecko, Nikodem Majer, Michael Zillich:
The PlayMate System. Cognitive Systems 2010: 367-393 - [e1]Henrik Iskov Christensen, Geert-Jan M. Kruijff, Jeremy L. Wyatt:
Cognitive Systems. Cognitive Systems Monographs 8, Springer 2010, ISBN 978-3-642-11693-3 [contents]
2000 – 2009
- 2009
- [j3]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring design space for an integrated intelligent system. Knowl. Based Syst. 22(7): 509-515 (2009) - [c23]Marek Sewer Kopicki, Jeremy L. Wyatt, Rustam Stolkin:
Prediction learning in robotic pushing manipulation. ICAR 2009: 1-6 - [c22]Zeyn A. Saigol, Richard Dearden, Jeremy L. Wyatt, Bramley J. Murton:
Information-Lookahead Planning for AUV Mapping. IJCAI 2009: 1831-1836 - 2008
- [c21]Jeremy L. Wyatt, Nick Hawes:
Multiple Workspaces as an Architecture for Cognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 201- - [c20]Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden:
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. ICAPS 2008: 346-354 - [c19]Noel Welsh, Jeremy L. Wyatt:
United We Stand: Population Based Methods for Solving Unknown POMDPs. EWRL 2008: 243-252 - [c18]Henrik Jacobsson, Nick Hawes, Geert-Jan M. Kruijff, Jeremy L. Wyatt:
Crossmodal content binding in information-processing architectures. HRI 2008: 81-88 - [c17]Michael Stark, Philipp Lies, Michael Zillich, Jeremy L. Wyatt, Bernt Schiele:
Functional Object Class Detection Based on Learned Affordance Cues. ICVS 2008: 435-444 - [c16]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring Design Space For An Integrated Intelligent System. SGAI Conf. 2008: 177-190 - 2007
- [c15]Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj:
Towards an Integrated Robot with Multiple Cognitive Functions. AAAI 2007: 1548-1553 - [c14]Yoshiyuki Matsumura, Masashi Oiso, Masaki Matsuda, Noriyuki Fujimoto, Kenichi Hagihara, Kazuhiro Ohkura, Jeremy L. Wyatt, Xin Yao:
Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. ICNC (4) 2007: 223-227 - [c13]Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt:
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. IJCAI 2007: 2072-2077 - [c12]Nick Hawes, Michael Zillich, Jeremy L. Wyatt:
BALT & CAST: Middleware for Cognitive Robotics. RO-MAN 2007: 998-1003 - 2006
- [c11]Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana:
Fuzzy-Q Knowledge Sharing Techniques with Expertness Measures: Comparison and Analysis. CSR 2006: 544-554 - [c10]Somboon Hongeng, Jeremy L. Wyatt:
Learning Causality and Intentional Actions. Towards Affordance-Based Robot Control 2006: 27-46 - [c9]Somboon Hongeng, Jeremy L. Wyatt:
Learning Causality and Intention in Human Actions. Humanoids 2006: 62-68 - [c8]Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana:
Comparison and Analysis of Expertness Measure in Knowledge Sharing Among Robots. IEA/AIE 2006: 60-69 - 2005
- [j2]Gavin Brown, Jeremy L. Wyatt, Rachel Harris, Xin Yao:
Diversity creation methods: a survey and categorisation. Inf. Fusion 6(1): 5-20 (2005) - [j1]Gavin Brown, Jeremy L. Wyatt, Peter Tiño:
Managing Diversity in Regression Ensembles. J. Mach. Learn. Res. 6: 1621-1650 (2005) - [c7]Gavin Brown, Jeremy L. Wyatt, Ping Sun:
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. Multiple Classifier Systems 2005: 296-305 - 2004
- [c6]Panrasee Ritthipravat, Djitt Laowattana, Jeremy L. Wyatt:
A modified approach to fuzzy Q learning for mobile robots. SMC (3) 2004: 2350-2356 - [c5]Arthur Plínio de S. Braga, Aluízio F. R. Araújo, Jeremy L. Wyatt:
Incremental topological reinforcement learning agent in non-structured environments. SMC (6) 2004: 5567-5572 - 2003
- [c4]Gavin Brown, Jeremy L. Wyatt:
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. ICML 2003: 67-74 - [c3]Gavin Brown, Jeremy L. Wyatt:
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods. Multiple Classifier Systems 2003: 266-275 - [c2]Hector A. Montes, Jeremy L. Wyatt:
Cartesian Genetic Programming for Image Processing Tasks. Neural Networks and Computational Intelligence 2003: 185-190 - 2001
- [c1]Jeremy L. Wyatt:
Exploration Control in Reinforcement Learning using Optimistic Model Selection. ICML 2001: 593-600
Coauthor Index
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