| 2026 | AAAI | Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. | Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes |
| 2026 | HRI | Failing Forward: Design and Deployment Lessons from Real-World Human-Robot Interaction. | Leimin Tian, Ana Kirschbaum, Caterina Neef, Mary Ellen Foster, Sara Cooper, Frauke Zeller, Manuel Giuliani, Alexander Eberhard, Oliver Chojnowski, Nils Mandischer, Utku Norman, Jan Ole Rixen, Pamela Carreno-Medrano, Nick Hawes, Dana Kulic |
| 2025 | HRI | Group Decision-Making in Robot Teleoperation: Two Heads are Better Than One. | Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes |
| 2025 | HRI | Human-Robot Interaction in Extreme and Challenging Environments. | Leimin Tian, Pamela Carreno-Medrano, Manuel Giuliani, Nick Hawes, Raunak Bhattacharyya, Dana Kulic |
| 2025 | ICAPS | Partially Observable Monte-Carlo Graph Search. | Yang You, Vincent Thomas, Alex Schutz, Robert Skilton, Nick Hawes, Olivier Buffet |
| 2025 | ICML | Return Capping: Sample Efficient CVaR Policy Gradient Optimisation. | Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes |
| 2025 | IJCAI | A Finite-State Controller Based Offline Solver for Deterministic POMDPs. | Alex Schutz, Yang You, Matas Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes |
| 2025 | ICRA | Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. | Rhys Howard, Nick Hawes, Lars Kunze |
| 2025 | ICRA | LUMOS: Language-Conditioned Imitation Learning with World Models. | Iman Nematollahi, Branton DeMoss, Akshay L. Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner |
| 2025 | IROS | Multi-Agent Pickup and Delivery with Mobile Pickups. | Benedetta Flammini, Nick Hawes, Bruno Lacerda |
| 2025 | IROS | Decremental Dynamics Planning for Robot Navigation. | Yuanjie Lu, Tong Xu, Linji Wang, Nick Hawes, Xuesu Xiao |
| 2024 | AAAI | Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. | Matthew Budd, Bruno Lacerda, Nick Hawes |
| 2024 | ECAI | Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. | Alex Stephens, Bruno Lacerda, Nick Hawes |
| 2024 | IROS | Planning for Long-Term Monitoring Missions in Time-Varying Environments. | Alex Stephens, Bruno Lacerda, Nick Hawes |
| 2023 | AAAI | Planning with Hidden Parameter Polynomial MDPs. | Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2023 | AAAI | Multi-Unit Auctions for Allocating Chance-Constrained Resources. | Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge |
| 2023 | ECAI | Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. | Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes |
| 2023 | ICRA | VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. | Julius Jankowski, Lara Brudermller, Nick Hawes, Sylvain Calinon |
| 2022 | CoRL | Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. | Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda |
| 2022 | IJCAI | Shared Autonomy Systems with Stochastic Operator Models. | Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2022 | IROS | Unbiased Active Inference for Classical Control. | Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes |
| 2022 | IROS | Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. | Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda |
| 2021 | AAAI | Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. | Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2021 | ICRA | Active Inference for Integrated State-Estimation, Control, and Learning. | Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes |
| 2020 | CoRL | Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. | Paul Duckworth, Bruno Lacerda, Nick Hawes |
| 2020 | IROS | Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. | Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima |
| 2020 | IROS | Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. | Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes |
| 2019 | IJCAI | Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. | Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora |
| 2018 | AISTATS | Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. | Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes |
| 2018 | IROS | Simultaneous Task Allocation and Planning Under Uncertainty. | Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes |
| 2017 | IROS | Learning deep visual object models from noisy web data: How to make it work. | Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo |
| 2017 | ICRA | Semantic web-mining and deep vision for lifelong object discovery. | Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo |
| 2016 | ECAI | Partial Order Temporal Plan Merging for Mobile Robot Tasks. | Lenka Mudrov, Bruno Lacerda, Nick Hawes |
| 2016 | ECAI | Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. | Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes |
| 2016 | IROS | Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot. | Manolis Chiou, Rustam Stolkin, Goda Bieksaite, Nick Hawes, Kimron L. Shapiro, Timothy S. Harrison |
| 2016 | IROS | A Poisson-spectral model for modelling temporal patterns in human data observed by a robot. | Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes, Toms Krajnk |
| 2015 | AAAI | A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding. | Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes |
| 2015 | IJCAI | Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. | Bruno Lacerda, David Parker, Nick Hawes |
| 2015 | ICRA | Now or later? Predicting and maximising success of navigation actions from long-term experience. | Jaime Pulido Fentanes, Bruno Lacerda, Toms Krajnk, Nick Hawes, Marc Hanheide |
| 2015 | ICRA | Task scheduling for mobile robots using interval algebra. | Lenka Mudrov, Nick Hawes |
| 2015 | SMC | Towards the Principled Study of Variable Autonomy in Mobile Robots. | Manolis Chiou, Nick Hawes, Rustam Stolkin, Kimron L. Shapiro, Jess R. Kerlin, Andrew Clouter |
| 2014 | ICRA | Using Qualitative Spatial Relations for indirect object search. | Lars Kunze, Keerthi Kumar Doreswamy, Nick Hawes |
| 2014 | IROS | Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. | Lars Kunze, Chris Burbridge, Marina Alberti, Akshaya Thippur, John Folkesson, Patric Jensfelt, Nick Hawes |
| 2014 | IROS | Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. | Bruno Lacerda, David Parker, Nick Hawes |
| 2013 | HRI | Robot george: interactive continuous learning of visual concepts. | Michael Zillich, Kai Zhou, Danijel Skocaj, Matej Kristan, Alen Vrecko, Miroslav Jancek, Geert-Jan M. Kruijff, Thomas Keller, Marc Hanheide, Nick Hawes, Marko Mahnic |
| 2012 | AAAI | Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. | Nick Hawes, Matthew Klenk, Kate Lockwood, Graham S. Horn, John D. Kelleher |
| 2012 | SGAI | Controlling Anytime Scheduling of Observation Tasks. | J. W. Baxter, Jack Hargreaves, Nick Hawes, Rustam Stolkin |
| 2011 | IJCAI | 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 Gbelbecker, Hendrik Zender |
| 2011 | ICRA | Home alone: Autonomous extension and correction of spatial representations. | Nick Hawes, Marc Hanheide, Jack Hargreaves, Ben Page, Hendrik Zender, Patric Jensfelt |
| 2011 | IROS | A system for interactive learning in dialogue with a tutor. | Danijel Skocaj, Matej Kristan, Alen Vrecko, Marko Mahnic, Miroslav Jancek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Thomas Keller, Michael Zillich, Kai Zhou |
| 2010 | AAAI | CAST: Middleware for Memory-Based Architectures. | Nick Hawes, Marc Hanheide |
| 2009 | HRI | Planning as an architectural control mechanism. | Nick Hawes, Michael Brenner, Kristoffer Sj |
| 2009 | IROS | A computer vision integration model for a multi-modal cognitive system. | Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis |
| 2009 | SGAI | Architectures by Design: The Iterative Development of an Integrated Intelligent Agent. | Nick Hawes |
| 2008 | HRI | Crossmodal content binding in information-processing architectures. | Henrik Jacobsson, Nick Hawes, Geert-Jan M. Kruijff, Jeremy L. Wyatt |
| 2008 | RO-MAN | Continual planning for cross-modal situated clarification in human-robot interaction. | Geert-Jan M. Kruijff, Michael Brenner, Nick Hawes |
| 2008 | SGAI | Exploring Design Space For An Integrated Intelligent System. | Nick Hawes, Jeremy L. Wyatt, Aaron Sloman |
| 2007 | AAAI | 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, Gregor Berginc, Danijel Skocaj |
| 2007 | IJCAI | Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. | Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt |
| 2007 | RO-MAN | BALT & CAST: Middleware for Cognitive Robotics. | Nick Hawes, Michael Zillich, Jeremy L. Wyatt |