Jeremy L. Wyatt

93 papers A* 15A 7B 5C 2Misc 1Journal 37Unranked 21

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
2023	J	`jnl`	Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
2022	J	`jnl`	Deep Dexterous Grasping of Novel Objects From a Single View. Int. J. Humanoid Robotics Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Jeremy L. Wyatt
2020	J	`jnl`	Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics Auton. Syst. Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
2020	J	`jnl`	Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review. Frontiers Robotics AI Veronica Esther Arriola-Rios, Püren Güler, Fanny Ficuciello, Danica Kragic, Bruno Siciliano, Jeremy L. Wyatt
2020	J	`jnl`	Museum robot guides or conventional audio guides? An experimental study. Adv. Robotics Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt
2019	—	`conf`	Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
2019	J	`jnl`	Deep Dexterous Grasping of Novel Objects from a Single View. CoRR Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt
2019	J	`jnl`	Generative grasp synthesis from demonstration using parametric mixtures. CoRR Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt
2019	B	`conf`	Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. RO-MAN Anna-Maria Velentza, Dietmar Heinke, Jeremy L. Wyatt
2019	J	`jnl`	Hypothesis-based Belief Planning for Dexterous Grasping. CoRR Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt
2019	J	`jnl`	Learning better generative models for dexterous, single-view grasping of novel objects. CoRR Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt
2019	J	`jnl`	Learning better generative models for dexterous, single-view grasping of novel objects. Int. J. Robotics Res. Marek Sewer Kopicki, Dominik Belter, Jeremy L. Wyatt
2019	J	`jnl`	Multisensory Learning Framework for Robot Drumming. CoRR Andrey Barsky, Claudio Zito, Hiroki Mori, Tetsuya Ogata, Jeremy L. Wyatt
2019	—	`conf`	Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control. Humanoids Michael J. Mathew, Saif Sidhik, Mohan Sridharan, Morteza Azad, Akinobu Hayashi, Jeremy L. Wyatt
2019	J	`jnl`	REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. J. Artif. Intell. Res. Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt
2018	A	`conf`	Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes
2018	J	`jnl`	GPAtlasRRT: A Local Tactile Exploration Planner for Recovering the Shape of Novel Objects. Int. J. Humanoid Robotics Carlos J. Rosales, Federico Spinelli, Marco Gabiccini, Claudio Zito, Jeremy L. Wyatt
2017	J	`jnl`	A Multimodal Model of Object Deformation Under Robotic Pushing. IEEE Trans. Cogn. Dev. Syst. Veronica Esther Arriola-Rios, Jeremy L. Wyatt
2017	J	`jnl`	Active vision for dexterous grasping of novel objects. CoRR Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki
2017	—	`conf`	Adaptive sampling-based view planning under time constraints. ECMR Lars Kunze, Mohan Sridharan, Christos Dimitrakakis, Jeremy L. Wyatt
2017	J	`jnl`	Learning modular and transferable forward models of the motions of push manipulated objects. Auton. Robots Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Mörwald, Jeremy L. Wyatt
2017	J	`jnl`	Robot task planning and explanation in open and uncertain worlds. Artif. Intell. 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
2017	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 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
2017	J	`jnl`	Uncertainty Averse Pushing with Model Predictive Path Integral Control. CoRR Ermano Arruda, Michael J. Mathew, Marek Sewer Kopicki, Michael N. Mistry, Morteza Azad, Jeremy L. Wyatt
2017	—	`conf`	Uncertainty averse pushing with model predictive path integral control. Humanoids Ermano Arruda, Michael J. Mathew, Marek Sewer Kopicki, Michael N. Mistry, Morteza Azad, Jeremy L. Wyatt
2016	A	`conf`	A Poisson-spectral model for modelling temporal patterns in human data observed by a robot. IROS Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes, Tomás Krajník
2016	A	`conf`	Active vision for dexterous grasping of novel objects. IROS Ermano Arruda, Jeremy L. Wyatt, Marek Sewer Kopicki
2016	J	`jnl`	An integrated system for interactive continuous learning of categorical knowledge. J. Exp. Theor. Artif. Intell. 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
2016	J	`jnl`	Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands. CoRR Marek Sewer Kopicki, Carlos J. Rosales, Hamal Marino, Marco Gabiccini, Jeremy L. Wyatt
2016	J	`jnl`	One-shot learning and generation of dexterous grasps for novel objects. Int. J. Robotics Res. Marek Sewer Kopicki, Renaud Detry, Maxime Adjigble, Rustam Stolkin, Ales Leonardis, Jeremy L. Wyatt
2016	—	`conf`	Robots in our world. ICAC Jeremy L. Wyatt
2016	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR 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
2016	J	`jnl`	Towards Deep Compositional Networks. CoRR Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
2016	B	`conf`	Towards deep compositional networks. ICPR Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
2015	J	`jnl`	A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
2015	J	`jnl`	A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. CoRR Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt
2015	A*	`conf`	Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis
2015	J	`jnl`	Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. IEEE Trans. Robotics Shiqi Zhang, Mohan Sridharan, Jeremy L. Wyatt
2014	—	`conf`	A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
2014	J	`jnl`	KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. CoRR Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
2014	A	`conf`	Kinematically optimised predictions of object motion. IROS Dominik Belter, Marek Sewer Kopicki, Sebastian Zurek, Jeremy L. Wyatt
2014	A*	`conf`	Learning dexterous grasps that generalise to novel objects by combining hand and contact models. ICRA Marek Sewer Kopicki, Renaud Detry, Florian Schmidt, Christoph Borst, Rustam Stolkin, Jeremy L. Wyatt
2014	B	`conf`	Object Categorization from Range Images Using a Hierarchical Compositional Representation. ICPR Vladislav Kramarev, Sebastian Zurek, Jeremy L. Wyatt, Ales Leonardis
2014	B	`conf`	Towards an Architecture for Knowledge Representation and Reasoning in Robotics. ICSR Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
2013	J	`jnl`	Models of gaze control for manipulation tasks. ACM Trans. Appl. Percept. José I. Nuñez-Varela, Jeremy L. Wyatt
2013	A	`conf`	Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty. IROS Claudio Zito, Marek Sewer Kopicki, Rustam Stolkin, Christoph Borst, Florian Schmidt, Máximo A. Roa, Jeremy L. Wyatt
2012	—	`conf`	Gaze Allocation Analysis for a Visually Guided Manipulation Task. SAB José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
2012	A	`conf`	Two-level RRT planning for robotic push manipulation. IROS Claudio Zito, Rustam Stolkin, Marek Sewer Kopicki, Jeremy L. Wyatt
2012	A*	`conf`	Where do i look now? Gaze allocation during visually guided manipulation. ICRA José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
2011	—	`conf`	2D Mass-spring-like Model for Prediction of a Sponge's Behaviour upon Robotic Interaction. SGAI Conf. Veronica Esther Arriola-Rios, Jeremy L. Wyatt
2011	A*	`conf`	Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. IJCAI Marc Hanheide, Charles Gretton, Richard Dearden, Nick Hawes, Jeremy L. Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Göbelbecker, Hendrik Zender
2011	J	`jnl`	Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters
2011	A*	`conf`	Learning to predict how rigid objects behave under simple manipulation. ICRA Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Morwald, Jeremy L. Wyatt
2011	A*	`conf`	Physical simulation for monocular 3D model based tracking. ICRA Damien Jade Duff, Thomas Morwald, Rustam Stolkin, Jeremy L. Wyatt
2011	A*	`conf`	Predicting the unobservable Visual 3D tracking with a probabilistic motion model. ICRA Thomas Morwald, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt, Sebastian Zurek, Michael Zillich, Markus Vincze
2011	A	`conf`	Shadow Detection based on Colour Segmentation and Estimated Illumination. BMVC Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt
2010	—	`ch.`	Architecture and Representations. Cognitive Systems Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman, Geert-Jan M. Kruijff
2010	—	`book`	Cognitive Systems Henrik Iskov Christensen, Geert-Jan M. Kruijff, Jeremy L. Wyatt
2010	—	`ch.`	Cognitive Systems Introduction. Cognitive Systems Henrik I. Christensen, Aaron Sloman, Geert-Jan M. Kruijff, Jeremy L. Wyatt
2010	—	`conf`	Correlation-Based Intrinsic Image Extraction from a Single Image. ECCV (4) Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt
2010	J	`jnl`	Engineering intelligent information-processing systems with CAST. Adv. Eng. Informatics Nick Hawes, Jeremy L. Wyatt
2010	A*	`conf`	Motion estimation using physical simulation. ICRA Damien Jade Duff, Jeremy L. Wyatt, Rustam Stolkin
2010	—	`ch.`	Multi-modal Learning. Cognitive Systems Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt
2010	J	`jnl`	Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. Artif. Intell. Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden
2010	J	`jnl`	Self-Understanding and Self-Extension: A Systems and Representational Approach. IEEE Trans. Auton. Ment. Dev. 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
2010	—	`ch.`	The PlayMate System. Cognitive Systems 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
2009	J	`jnl`	Exploring design space for an integrated intelligent system. Knowl. Based Syst. Nick Hawes, Jeremy L. Wyatt, Aaron Sloman
2009	A*	`conf`	Information-Lookahead Planning for AUV Mapping. IJCAI Zeyn A. Saigol, Richard Dearden, Jeremy L. Wyatt, Bramley J. Murton
2009	—	`conf`	Prediction learning in robotic pushing manipulation. ICAR Marek Sewer Kopicki, Jeremy L. Wyatt, Rustam Stolkin
2008	A*	`conf`	Crossmodal content binding in information-processing architectures. HRI Henrik Jacobsson, Nick Hawes, Geert-Jan M. Kruijff, Jeremy L. Wyatt
2008	—	`conf`	Exploring Design Space For An Integrated Intelligent System. SGAI Conf. Nick Hawes, Jeremy L. Wyatt, Aaron Sloman
2008	C	`conf`	Functional Object Class Detection Based on Learned Affordance Cues. ICVS Michael Stark, Philipp Lies, Michael Zillich, Jeremy L. Wyatt, Bernt Schiele
2008	A*	`conf`	HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. ICAPS Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden
2008	—	`conf`	Multiple Workspaces as an Architecture for Cognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Jeremy L. Wyatt, Nick Hawes
2008	—	`conf`	United We Stand: Population Based Methods for Solving Unknown POMDPs. EWRL Noel Welsh, Jeremy L. Wyatt
2007	—	`conf`	Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. ICNC (4) Yoshiyuki Matsumura, Masashi Oiso, Masaki Matsuda, Noriyuki Fujimoto, Kenichi Hagihara, Kazuhiro Ohkura, Jeremy L. Wyatt, Xin Yao
2007	B	`conf`	BALT & CAST: Middleware for Cognitive Robotics. RO-MAN Nick Hawes, Michael Zillich, Jeremy L. Wyatt
2007	A*	`conf`	Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. IJCAI Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt
2007	A*	`conf`	Towards an Integrated Robot with Multiple Cognitive Functions. AAAI Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj
2006	C	`conf`	Comparison and Analysis of Expertness Measure in Knowledge Sharing Among Robots. IEA/AIE Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana
2006	Misc	`conf`	Fuzzy-Q Knowledge Sharing Techniques with Expertness Measures: Comparison and Analysis. CSR Panrasee Ritthipravat, Thavida Maneewarn, Jeremy L. Wyatt, Djitt Laowattana
2006	—	`conf`	Learning Causality and Intention in Human Actions. Humanoids Somboon Hongeng, Jeremy L. Wyatt
2006	—	`conf`	Learning Causality and Intentional Actions. Towards Affordance-Based Robot Control Somboon Hongeng, Jeremy L. Wyatt
2005	—	`conf`	Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. Multiple Classifier Systems Gavin Brown, Jeremy L. Wyatt, Ping Sun
2005	J	`jnl`	Diversity creation methods: a survey and categorisation. Inf. Fusion Gavin Brown, Jeremy L. Wyatt, Rachel Harris, Xin Yao
2005	J	`jnl`	Managing Diversity in Regression Ensembles. J. Mach. Learn. Res. Gavin Brown, Jeremy L. Wyatt, Peter Tiño
2004	—	`conf`	A modified approach to fuzzy Q learning for mobile robots. SMC (3) Panrasee Ritthipravat, Djitt Laowattana, Jeremy L. Wyatt
2004	—	`conf`	Incremental topological reinforcement learning agent in non-structured environments. SMC (6) Arthur Plínio de S. Braga, Aluízio F. R. Araújo, Jeremy L. Wyatt
2003	—	`conf`	Cartesian Genetic Programming for Image Processing Tasks. Neural Networks and Computational Intelligence Hector A. Montes, Jeremy L. Wyatt
2003	—	`conf`	Negative Correlation Learning and the Ambiguity Family of Ensemble Methods. Multiple Classifier Systems Gavin Brown, Jeremy L. Wyatt
2003	A*	`conf`	The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. ICML Gavin Brown, Jeremy L. Wyatt
2001	A*	`conf`	Exploration Control in Reinforcement Learning using Optimistic Model Selection. ICML Jeremy L. Wyatt