Exploration Control in Reinforcement Learning using Optimistic Model Selection. - Jeremy L. Wyatt (ICML, 2001)

The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. - Gavin Brown 001; Jeremy L. Wyatt (ICML, 2003)

Negative Correlation Learning and the Ambiguity Family of Ensemble Methods. - Gavin Brown 001; Jeremy L. Wyatt (Multiple Classifier Systems, 2003)

Cartesian Genetic Programming for Image Processing Tasks. - Hector A. Montes; Jeremy L. Wyatt (Neural Networks and Computational Intelligence, 2003)

Incremental topological reinforcement learning agent in non-structured environments. - Arthur Plínio de S. Braga; Aluízio F. R. Araújo; Jeremy L. Wyatt (SMC (6), 2004)

A modified approach to fuzzy Q learning for mobile robots. - Panrasee Ritthipravat; Djitt Laowattana; Jeremy L. Wyatt (SMC (3), 2004)

Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. - Gavin Brown 001; Jeremy L. Wyatt; Ping Sun (Multiple Classifier Systems, 2005)

Diversity creation methods: a survey and categorisation. - Gavin Brown 001; Jeremy L. Wyatt; Rachel Harris; Xin Yao 001 (Inf. Fusion, 2005)

Managing Diversity in Regression Ensembles. - Gavin Brown 001; Jeremy L. Wyatt; Peter Tiño (J. Mach. Learn. Res., 2005)

Fuzzy-Q Knowledge Sharing Techniques with Expertness Measures: Comparison and Analysis. - Panrasee Ritthipravat; Thavida Maneewarn; Jeremy L. Wyatt; Djitt Laowattana (CSR, 2006)

Learning Causality and Intentional Actions. - Somboon Hongeng; Jeremy L. Wyatt (Towards Affordance-Based Robot Control, 2006)

Learning Causality and Intention in Human Actions. - Somboon Hongeng; Jeremy L. Wyatt (Humanoids, 2006)

Comparison and Analysis of Expertness Measure in Knowledge Sharing Among Robots. - Panrasee Ritthipravat; Thavida Maneewarn; Jeremy L. Wyatt; Djitt Laowattana (IEA/AIE, 2006)

Towards an Integrated Robot with Multiple Cognitive Functions. - Nick Hawes; Aaron Sloman; Jeremy L. Wyatt; Michael Zillich; Henrik Jacobsson; Geert-Jan M. Kruijff; Michael Brenner 001; Gregor Berginc; Danijel Skocaj (AAAI, 2007)

Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. - Yoshiyuki Matsumura; Masashi Oiso; Masaki Matsuda; Noriyuki Fujimoto; Kenichi Hagihara; Kazuhiro Ohkura; Jeremy L. Wyatt; Xin Yao 001 (ICNC (4), 2007)

Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. - Michael Brenner 001; Nick Hawes; John D. Kelleher; Jeremy L. Wyatt (IJCAI, 2007)

BALT & CAST: Middleware for Cognitive Robotics. - Nick Hawes; Michael Zillich; Jeremy L. Wyatt (RO-MAN, 2007)

Multiple Workspaces as an Architecture for Cognition. - Jeremy L. Wyatt; Nick Hawes (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. - Mohan Sridharan; Jeremy L. Wyatt; Richard Dearden (ICAPS, 2008)

United We Stand: Population Based Methods for Solving Unknown POMDPs. - Noel Welsh; Jeremy L. Wyatt (EWRL, 2008)

Crossmodal content binding in information-processing architectures. - Henrik Jacobsson; Nick Hawes; Geert-Jan M. Kruijff; Jeremy L. Wyatt (HRI, 2008)

Functional Object Class Detection Based on Learned Affordance Cues. - Michael Stark 003; Philipp Lies; Michael Zillich; Jeremy L. Wyatt; Bernt Schiele (ICVS, 2008)

Prediction learning in robotic pushing manipulation. - Marek Sewer Kopicki; Jeremy L. Wyatt; Rustam Stolkin (ICAR, 2009)

Information-Lookahead Planning for AUV Mapping. - Zeyn A. Saigol; Richard Dearden; Jeremy L. Wyatt; Bramley J. Murton (IJCAI, 2009)

Exploring design space for an integrated intelligent system. - Nick Hawes; Jeremy L. Wyatt; Aaron Sloman (Knowl. Based Syst., 2009)

Cognitive Systems Introduction. - Henrik I. Christensen; Aaron Sloman; Geert-Jan M. Kruijff; Jeremy L. Wyatt (Cognitive Systems, 2010)

Architecture and Representations. - Nick Hawes; Jeremy L. Wyatt; Mohan Sridharan; Henrik Jacobsson; Richard Dearden; Aaron Sloman; Geert-Jan M. Kruijff (Cognitive Systems, 2010)

The PlayMate System. - Nick Hawes; Jeremy L. Wyatt; Mohan Sridharan; Marek Sewer Kopicki; Somboon Hongeng; Ian Calvert; Aaron Sloman; Geert-Jan M. Kruijff; Henrik Jacobsson; Michael Brenner 001; Danijel Skocaj; Alen Vrecko; et al. (Cognitive Systems, 2010)

Multi-modal Learning. - Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark 003; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt (Cognitive Systems, 2010)

Correlation-Based Intrinsic Image Extraction from a Single Image. - Xiaoyue Jiang; Andrew J. Schofield; Jeremy L. Wyatt (ECCV (4), 2010)

Motion estimation using physical simulation. - Damien Jade Duff; Jeremy L. Wyatt; Rustam Stolkin (ICRA, 2010)

Engineering intelligent information-processing systems with CAST. - Nick Hawes; Jeremy L. Wyatt (Adv. Eng. Informatics, 2010)

Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. - Mohan Sridharan; Jeremy L. Wyatt; Richard Dearden (Artif. Intell., 2010)

Self-Understanding and Self-Extension: A Systems and Representational Approach. - Jeremy L. Wyatt; Alper Aydemir; Michael Brenner 001; Marc Hanheide; Nick Hawes; Patric Jensfelt; Matej Kristan; Geert-Jan M. Kruijff; Pierre Lison; Andrzej Pronobis; Kristoffer Sjöö; Alen Vrecko; et al. (IEEE Trans. Auton. Ment. Dev., 2010)

Shadow Detection based on Colour Segmentation and Estimated Illumination. - Xiaoyue Jiang; Andrew J. Schofield; Jeremy L. Wyatt (BMVC, 2011)

Physical simulation for monocular 3D model based tracking. - Damien Jade Duff; Thomas Morwald; Rustam Stolkin; Jeremy L. Wyatt (ICRA, 2011)

Learning to predict how rigid objects behave under simple manipulation. - Marek Sewer Kopicki; Sebastian Zurek; Rustam Stolkin; Thomas Morwald; Jeremy L. Wyatt (ICRA, 2011)

Predicting the unobservable Visual 3D tracking with a probabilistic motion model. - Thomas Morwald; Marek Sewer Kopicki; Rustam Stolkin; Jeremy L. Wyatt; Sebastian Zurek; Michael Zillich; Markus Vincze (ICRA, 2011)

Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. - Marc Hanheide; Charles Gretton; Richard Dearden; Nick Hawes; Jeremy L. Wyatt; Andrzej Pronobis; Alper Aydemir; Moritz Göbelbecker; Hendrik Zender (IJCAI, 2011)

2D Mass-spring-like Model for Prediction of a Sponge's Behaviour upon Robotic Interaction. - Veronica Esther Arriola-Rios; Jeremy L. Wyatt (SGAI Conf., 2011)

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). - Jeremy L. Wyatt; Peter Dayan; Ales Leonardis; Jan Peters 001 (Dagstuhl Reports, 2011)

Where do i look now? Gaze allocation during visually guided manipulation. - José I. Nuñez-Varela; Balaraman Ravindran; Jeremy L. Wyatt (ICRA, 2012)

Two-level RRT planning for robotic push manipulation. - Claudio Zito; Rustam Stolkin; Marek Sewer Kopicki; Jeremy L. Wyatt (IROS, 2012)

Gaze Allocation Analysis for a Visually Guided Manipulation Task. - José I. Nuñez-Varela; Balaraman Ravindran; Jeremy L. Wyatt (SAB, 2012)

Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty. - Claudio Zito; Marek Sewer Kopicki; Rustam Stolkin; Christoph Borst 001; Florian Schmidt 001; Máximo A. Roa; Jeremy L. Wyatt (IROS, 2013)

Models of gaze control for manipulation tasks. - José I. Nuñez-Varela; Jeremy L. Wyatt (ACM Trans. Appl. Percept., 2013)

A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. - Ümit Rusen Aktas; Mete Ozay; Ales Leonardis; Jeremy L. Wyatt (ECCV (3), 2014)

Object Categorization from Range Images Using a Hierarchical Compositional Representation. - Vladislav Kramarev; Sebastian Zurek; Jeremy L. Wyatt; Ales Leonardis (ICPR, 2014)

Learning dexterous grasps that generalise to novel objects by combining hand and contact models. - Marek Sewer Kopicki; Renaud Detry; Florian Schmidt 001; Christoph Borst 001; Rustam Stolkin; Jeremy L. Wyatt (ICRA, 2014)

Kinematically optimised predictions of object motion. - Dominik Belter; Marek Sewer Kopicki; Sebastian Zurek; Jeremy L. Wyatt (IROS, 2014)

Towards an Architecture for Knowledge Representation and Reasoning in Robotics. - Shiqi Zhang 001; Mohan Sridharan; Michael Gelfond; Jeremy L. Wyatt (ICSR, 2014)

KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. - Shiqi Zhang 001; Mohan Sridharan; Michael Gelfond; Jeremy L. Wyatt (CoRR, 2014)

Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. - Mete Ozay; Ümit Rusen Aktas; Jeremy L. Wyatt; Ales Leonardis (ICCV, 2015)

A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. - Mohan Sridharan; Michael Gelfond; Shiqi Zhang 001; Jeremy L. Wyatt (CoRR, 2015)

Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. - Shiqi Zhang 001; Mohan Sridharan; Jeremy L. Wyatt (IEEE Trans. Robotics, 2015)

Robots in our world. - Jeremy L. Wyatt (ICAC, 2016)

Towards deep compositional networks. - Domen Tabernik; Matej Kristan; Jeremy L. Wyatt; Ales Leonardis (ICPR, 2016)

Active vision for dexterous grasping of novel objects. - Ermano Arruda; Jeremy L. Wyatt; Marek Sewer Kopicki (IROS, 2016)

A Poisson-spectral model for modelling temporal patterns in human data observed by a robot. - Ferdian Jovan; Jeremy L. Wyatt; Nick Hawes; Tomás Krajník (IROS, 2016)

Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands. - Marek Sewer Kopicki; Carlos J. Rosales; Hamal Marino; Marco Gabiccini; Jeremy L. Wyatt (CoRR, 2016)

One-shot learning and generation of dexterous grasps for novel objects. - Marek Sewer Kopicki; Renaud Detry; Maxime Adjigble; Rustam Stolkin; Ales Leonardis; Jeremy L. Wyatt (Int. J. Robotics Res., 2016)

An integrated system for interactive continuous learning of categorical knowledge. - Danijel Skocaj; Alen Vrecko; Marko Mahnic; Miroslav Janícek; Geert-Jan M. Kruijff; Marc Hanheide; Nick Hawes; Jeremy L. Wyatt; Thomas Keller 001; Kai Zhou 003; Michael Zillich; Matej Kristan (J. Exp. Theor. Artif. Intell., 2016)

Adaptive sampling-based view planning under time constraints. - Lars Kunze; Mohan Sridharan; Christos Dimitrakakis; Jeremy L. Wyatt (ECMR, 2017)

Uncertainty averse pushing with model predictive path integral control. - Ermano Arruda; Michael J. Mathew; Marek Sewer Kopicki; Michael N. Mistry; Morteza Azad; Jeremy L. Wyatt (Humanoids, 2017)

Robot task planning and explanation in open and uncertain worlds. - 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; et al. (Artif. Intell., 2017)

Learning modular and transferable forward models of the motions of push manipulated objects. - Marek Sewer Kopicki; Sebastian Zurek; Rustam Stolkin; Thomas Mörwald; Jeremy L. Wyatt (Auton. Robots, 2017)

The STRANDS Project: Long-Term Autonomy in Everyday Environments. - 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; et al. (IEEE Robotics Autom. Mag., 2017)

A Multimodal Model of Object Deformation Under Robotic Pushing. - Veronica Esther Arriola-Rios; Jeremy L. Wyatt (IEEE Trans. Cogn. Dev. Syst., 2017)

Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. - Ferdian Jovan; Jeremy L. Wyatt; Nick Hawes (AISTATS, 2018)

GPAtlasRRT: A Local Tactile Exploration Planner for Recovering the Shape of Novel Objects. - Carlos J. Rosales; Federico Spinelli; Marco Gabiccini; Claudio Zito; Jeremy L. Wyatt (Int. J. Humanoid Robotics, 2018)

Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. - Milan Tomy; Bruno Lacerda; Nick Hawes; Jeremy L. Wyatt (ECMR, 2019)

Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control. - Michael J. Mathew; Saif Sidhik; Mohan Sridharan; Morteza Azad; Akinobu Hayashi; Jeremy L. Wyatt (Humanoids, 2019)

Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. - Anna-Maria Velentza; Dietmar Heinke; Jeremy L. Wyatt (RO-MAN, 2019)

Hypothesis-based Belief Planning for Dexterous Grasping. - Claudio Zito; Valerio Ortenzi; Maxime Adjigble; Marek Sewer Kopicki; Rustam Stolkin; Jeremy L. Wyatt (CoRR, 2019)

Generative grasp synthesis from demonstration using parametric mixtures. - Ermano Arruda; Claudio Zito; Mohan Sridharan; Marek Sewer Kopicki; Jeremy L. Wyatt (CoRR, 2019)

Multisensory Learning Framework for Robot Drumming. - Andrey Barsky; Claudio Zito; Hiroki Mori; Tetsuya Ogata; Jeremy L. Wyatt (CoRR, 2019)

Deep Dexterous Grasping of Novel Objects from a Single View. - Ümit Rusen Aktas; Chao Zhao 004; Marek Sewer Kopicki; Ales Leonardis; Jeremy L. Wyatt (CoRR, 2019)

Learning better generative models for dexterous, single-view grasping of novel objects. - Marek Sewer Kopicki; Dominik Belter; Jeremy L. Wyatt (Int. J. Robotics Res., 2019)

REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. - Mohan Sridharan; Michael Gelfond; Shiqi Zhang 001; Jeremy L. Wyatt (J. Artif. Intell. Res., 2019)

Museum robot guides or conventional audio guides? An experimental study. - Anna-Maria Velentza; Dietmar Heinke; Jeremy L. Wyatt (Adv. Robotics, 2020)

Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review. - Veronica Esther Arriola-Rios; Püren Güler; Fanny Ficuciello; Danica Kragic; Bruno Siciliano; Jeremy L. Wyatt (Frontiers Robotics AI, 2020)

Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. - Milan Tomy; Bruno Lacerda; Nick Hawes; Jeremy L. Wyatt (Robotics Auton. Syst., 2020)

Deep Dexterous Grasping of Novel Objects From a Single View. - Ümit Rusen Aktas; Chao Zhao 004; Marek Sewer Kopicki; Jeremy L. Wyatt (Int. J. Humanoid Robotics, 2022)

Efficiently exploring for human robot interaction: partially observable Poisson processes. - Ferdian Jovan; Milan Tomy; Nick Hawes; Jeremy L. Wyatt (Auton. Robots, 2023)

Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes. - Ferdian Jovan; Milan Tomy; Nick Hawes; Jeremy L. Wyatt (Auton. Robots, 2023)