Jeremy L. Wyatt

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 35

Top Topics

Human Robot Interaction

Partially Observable

Poisson Processes

Top Venues

Int. J. Robotics Res.

Publications

Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47 (1) (2023)
Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47 (8) (2023)
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) (2022)
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 (2020)
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 (2020)
Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt
Museum robot guides or conventional audio guides? An experimental study. Adv. Robotics 34 (24) (2020)
Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt
Hypothesis-based Belief Planning for Dexterous Grasping. CoRR (2019)
Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR (2019)
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)
Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt
Generative grasp synthesis from demonstration using parametric mixtures. CoRR (2019)
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)
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 (2019)
Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt
Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. RO-MAN (2019)
Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt
Deep Dexterous Grasping of Novel Objects from a Single View. CoRR (2019)
Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt
Learning better generative models for dexterous, single-view grasping of novel objects. CoRR (2019)
Andrey Barsky, Claudio Zito, Hiroki Mori, Tetsuya Ogata, Jeremy L. Wyatt
Multisensory Learning Framework for Robot Drumming. CoRR (2019)
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) (2018)
Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS (2018)
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 (2017)
Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki
Active vision for dexterous grasping of novel objects. CoRR (2017)
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 (2017)
Lars Kunze, Mohan Sridharan, Christes Dimitrakakis, Jeremy L. Wyatt
Adaptive sampling-based view planning under time constraints. ECMR (2017)
Veronica Esther Arriola-Rios, Jeremy L. Wyatt
A Multimodal Model of Object Deformation Under Robotic Pushing. IEEE Trans. Cogn. Dev. Syst. 9 (2) (2017)
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) (2017)
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) (2017)
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)
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
Towards deep compositional networks. ICPR (2016)
Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki
Active vision for dexterous grasping of novel objects. IROS (2016)
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 (2016)
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) (2016)
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
Towards Deep Compositional Networks. CoRR (2016)
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 (2016)
Jeremy L. Wyatt
Robots in our world. ICAC (2016)
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) (2016)
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)
Shiqi Zhang, Mohan Sridharan, Jeremy L. Wyatt
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. IEEE Trans. Robotics 31 (3) (2015)
Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt
A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. CoRR (2015)
Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV (2015)
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 (2015)
Vladislav Kramarev, Sebastian Zurek, Jeremy L. Wyatt, Ales Leonardis
Object Categorization from Range Images Using a Hierarchical Compositional Representation. ICPR (2014)
Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. CoRR (2014)
Dominik Belter, Marek Sewer Kopicki, Sebastian Zurek, Jeremy L. Wyatt
Kinematically optimised predictions of object motion. IROS (2014)
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)
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)
Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
Towards an Architecture for Knowledge Representation and Reasoning in Robotics. ICSR (2014)
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)
José I. Nuñez-Varela, Jeremy L. Wyatt
Models of gaze control for manipulation tasks. ACM Trans. Appl. Percept. 10 (4) (2013)
José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
Where do i look now? Gaze allocation during visually guided manipulation. ICRA (2012)
Claudio Zito, Rustam Stolkin, Marek Sewer Kopicki, Jeremy L. Wyatt
Two-level RRT planning for robotic push manipulation. IROS (2012)
José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
Gaze Allocation Analysis for a Visually Guided Manipulation Task. SAB (2012)
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)
Damien Jade Duff, Thomas Morwald, Rustam Stolkin, Jeremy L. Wyatt
Physical simulation for monocular 3D model based tracking. ICRA (2011)
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)
Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports 1 (3) (2011)
Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Morwald, Jeremy L. Wyatt
Learning to predict how rigid objects behave under simple manipulation. ICRA (2011)
Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt
Shadow Detection based on Colour Segmentation and Estimated Illumination. BMVC (2011)
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)
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) (2010)
Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt
Correlation-Based Intrinsic Image Extraction from a Single Image. ECCV (4) (2010)
Nick Hawes, Jeremy L. Wyatt
Engineering intelligent information-processing systems with CAST. Adv. Eng. Informatics 24 (1) (2010)
Damien Jade Duff, Jeremy L. Wyatt, Rustam Stolkin
Motion estimation using physical simulation. ICRA (2010)
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) (2010)
Marek Sewer Kopicki, Jeremy L. Wyatt, Rustam Stolkin
Prediction learning in robotic pushing manipulation. ICAR (2009)
Zeyn A. Saigol, Richard Dearden, Jeremy L. Wyatt, Bramley J. Murton
Information-Lookahead Planning for AUV Mapping. IJCAI (2009)
Nick Hawes, Jeremy L. Wyatt, Aaron Sloman
Exploring design space for an integrated intelligent system. Knowl. Based Syst. 22 (7) (2009)
Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. ICAPS (2008)
Henrik Jacobsson, Nick Hawes, Geert-Jan M. Kruijff, Jeremy L. Wyatt
Crossmodal content binding in information-processing architectures. HRI (2008)
Michael Stark, Philipp Lies, Michael Zillich, Jeremy L. Wyatt, Bernt Schiele
Functional Object Class Detection Based on Learned Affordance Cues. ICVS (2008)
Noel Welsh, Jeremy L. Wyatt
United We Stand: Population Based Methods for Solving Unknown POMDPs. EWRL (2008)
Jeremy L. Wyatt, Nick Hawes
Multiple Workspaces as an Architecture for Cognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
Nick Hawes, Jeremy L. Wyatt, Aaron Sloman
Exploring Design Space For An Integrated Intelligent System. SGAI Conf. (2008)
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)
Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. IJCAI (2007)
Nick Hawes, Michael Zillich, Jeremy L. Wyatt
BALT & CAST: Middleware for Cognitive Robotics. RO-MAN (2007)
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)
Somboon Hongeng, Jeremy L. Wyatt
Learning Causality and Intentional Actions. Towards Affordance-Based Robot Control (2006)
Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana
Fuzzy-Q Knowledge Sharing Techniques with Expertness Measures: Comparison and Analysis. CSR (2006)
Somboon Hongeng, Jeremy L. Wyatt
Learning Causality and Intention in Human Actions. Humanoids (2006)
Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana
Comparison and Analysis of Expertness Measure in Knowledge Sharing Among Robots. IEA/AIE (2006)
Gavin Brown, Jeremy L. Wyatt, Ping Sun
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. Multiple Classifier Systems (2005)
Gavin Brown, Jeremy L. Wyatt, Rachel Harris, Xin Yao
Diversity creation methods: a survey and categorisation. Inf. Fusion 6 (1) (2005)
Gavin Brown, Jeremy L. Wyatt, Peter Tiño
Managing Diversity in Regression Ensembles. J. Mach. Learn. Res. 6 (2005)
Arthur Plínio de S. Braga, Aluizio F. R. Araújo, Jeremy L. Wyatt
Incremental topological reinforcement learning agent in non-structured environments. SMC (6) (2004)
Panrasee Ritthipravat, Djitt Laowattana, Jeremy L. Wyatt
A modified approach to fuzzy Q learning for mobile robots. SMC (3) (2004)
Gavin Brown, Jeremy L. Wyatt
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods. Multiple Classifier Systems (2003)
Gavin Brown, Jeremy L. Wyatt
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. ICML (2003)
Hector A. Montes, Jeremy L. Wyatt
Cartesian Genetic Programming for Image Processing Tasks. Neural Networks and Computational Intelligence (2003)
Jeremy L. Wyatt
Exploration Control in Reinforcement Learning using Optimistic Model Selection. ICML (2001)