Real Time Goal Orientated Behaviour for Computer Game Agents. - Nick Hawes (GAME-ON, 2000)

Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue. - Geert-Jan M. Kruijff; John D. Kelleher; Nick Hawes (PIT, 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)

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)

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

Continual planning for cross-modal situated clarification in human-robot interaction. - Geert-Jan M. Kruijff; Michael Brenner 001; Nick Hawes (RO-MAN, 2008)

Planning as an architectural control mechanism. - Nick Hawes; Michael Brenner 001; Kristoffer Sjöö (HRI, 2009)

A computer vision integration model for a multi-modal cognitive system. - Alen Vrecko; Danijel Skocaj; Nick Hawes; Ales Leonardis (IROS, 2009)

Architectures by Design: The Iterative Development of an Integrated Intelligent Agent. - Nick Hawes (SGAI Conf., 2009)

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

Planning and Failure Detection. - Michael Brenner 001; Christian Plagemann; Bernhard Nebel; Wolfram Burgard; Nick Hawes (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)

Lessons Learnt from Scenario-Based Integration. - Nick Hawes; Michael Zillich; Patric Jensfelt (Cognitive Systems, 2010)

Situated Dialogue Processing for Human-Robot Interaction. - Geert-Jan M. Kruijff; Pierre Lison; Trevor Benjamin; Henrik Jacobsson; Hendrik Zender; Ivana Kruijff-Korbayová; Nick Hawes (Cognitive Systems, 2010)

The Explorer System. - Kristoffer Sjöö; Hendrik Zender; Patric Jensfelt; Geert-Jan M. Kruijff; Andrzej Pronobis; Nick Hawes; Michael Brenner 001 (Cognitive Systems, 2010)

CAST: Middleware for Memory-Based Architectures. - Nick Hawes; Marc Hanheide (Enabling Intelligence through Middleware, 2010)

Dora the Explorer: a motivated robot. - Nick Hawes; Marc Hanheide; Kristoffer Sjöö; Alper Aydemir; Patric Jensfelt; Moritz Göbelbecker; Michael Brenner 001; Hendrik Zender; Pierre Lison; Ivana Kruijff-Korbayová; Geert-Jan M. Kruijff; Michael Zillich (AAMAS, 2010)

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

Representing and Reasoning About Spatial Regions Defined by Context. - Matthew Klenk 001; Nick Hawes; Kate Lockwood (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Home alone: Autonomous extension and correction of spatial representations. - Nick Hawes; Marc Hanheide; Jack Hargreaves; Ben Page; Hendrik Zender; Patric Jensfelt (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)

A system for interactive learning in dialogue with a tutor. - Danijel Skocaj; Matej Kristan; Alen Vrecko; Marko Mahnic; Miroslav Janícek; Geert-Jan M. Kruijff; Marc Hanheide; Nick Hawes; Thomas Keller 001; Michael Zillich; Kai Zhou 003 (IROS, 2011)

A survey of motivation frameworks for intelligent systems. - Nick Hawes (Artif. Intell., 2011)

Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. - Nick Hawes; Matthew Klenk 001; Kate Lockwood; Graham S. Horn; John D. Kelleher (AAAI, 2012)

Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. - Jay Young; Nick Hawes (AIIDE, 2012)

Please keep off the grass: individual norms in virtual worlds. - Katrina Samperi; Russell Beale; Nick Hawes (BCS HCI, 2012)

Controlling Anytime Scheduling of Observation Tasks. - J. W. Baxter; Jack Hargreaves; Nick Hawes; Rustam Stolkin (SGAI Conf., 2012)

Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. - Jay Young; Nick Hawes (AAAI Fall Symposia, 2013)

Robot george: interactive continuous learning of visual concepts. - Michael Zillich; Kai Zhou 003; Danijel Skocaj; Matej Kristan; Alen Vrecko; Miroslav Janícek; Geert-Jan M. Kruijff; Thomas Keller 001; Marc Hanheide; Nick Hawes; Marko Mahnic (HRI, 2013)

Committees. - Nick Hawes (AAAI Spring Symposia, 2014)

Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search. - Lars Kunze; Chris Burbridge; Nick Hawes (AAAI Spring Symposia, 2014)

Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System. - Jay Young; Nick Hawes (AAAI Spring Symposia, 2014)

Learning Micro-Management Skills in RTS Games by Imitating Experts. - Jay Young; Nick Hawes (AIIDE, 2014)

Using Qualitative Spatial Relations for indirect object search. - Lars Kunze; Keerthi Kumar Doreswamy; Nick Hawes (ICRA, 2014)

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 (IROS, 2014)

Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. - Bruno Lacerda; David Parker 001; Nick Hawes (IROS, 2014)

Improving the Generation of Rapidly Exploring Randomised Trees (RRTs) in Large Scale Virtual Environments Using Trails. - Katrina Samperi; Nick Hawes (TAROS, 2014)

Reports of the 2014 AAAI Spring Symposium Series. - Manish Jain; Albert Xin Jiang; Takashi Kido; Keiki Takadama; Eric G. Mercer; Neha Rungta; Mark Waser; Alan Wagner; Jennifer L. Burke; Donald A. Sofge; William F. Lawless; Mohan Sridharan; et al. (AI Mag., 2014)

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 (AAAI, 2015)

Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). - Bruno Lacerda; David Parker 001; Nick Hawes (AAAI Fall Symposia, 2015)

Learning By Observation Using Qualitative Spatial Relations. - Jay Young; Nick Hawes (AAMAS, 2015)

An integrated control framework for long-term autonomy in mobile service robots. - Lenka Mudrová; Bruno Lacerda; Nick Hawes (ECMR, 2015)

Robot plans execution for information gathering tasks with resources constraints. - Minlue Wang; Richard Dearden; Nick Hawes (ECMR, 2015)

Now or later? Predicting and maximising success of navigation actions from long-term experience. - Jaime Pulido Fentanes; Bruno Lacerda; Tomás Krajník; Nick Hawes; Marc Hanheide (ICRA, 2015)

Task scheduling for mobile robots using interval algebra. - Lenka Mudrová; Nick Hawes (ICRA, 2015)

Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. - Bruno Lacerda; David Parker 001; Nick Hawes (IJCAI, 2015)

Towards the Principled Study of Variable Autonomy in Mobile Robots. - Manolis Chiou; Nick Hawes; Rustam Stolkin; Kimron L. Shapiro; Jess R. Kerlin; Andrew Clouter (SMC, 2015)

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. - Robert Morris 004; Blai Bonet; Marc Cavazza; Marie desJardins; Ariel Felner; Nick Hawes; Brad Knox; Sven Koenig; George Dimitri Konidaris; Jérôme Lang; Carlos Linares López; Daniele Magazzeni; et al. (AI Mag., 2015)

Human-Initiative Variable Autonomy: An Experimental Analysis of the Interactions Between a Human Operator and a Remotely Operated Mobile Robot which also Possesses Autonomous Capabilities. - Manolis Chiou; Goda Bieksaite; Nick Hawes; Rustam Stolkin (AAAI Fall Symposia, 2016)

Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. - Paul Duckworth; Yiannis Gatsoulis; Ferdian Jovan; Nick Hawes; David C. Hogg; Anthony G. Cohn 001 (AAMAS, 2016)

Partial Order Temporal Plan Merging for Mobile Robot Tasks. - Lenka Mudrová; Bruno Lacerda; Nick Hawes (ECAI, 2016)

Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. - Jay Young; Valerio Basile; Lars Kunze; Elena Cabrio; Nick Hawes (ECAI, 2016)

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 (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)

Next Best View Planning for Object Recognition in Mobile Robotics. - Christopher McGreavy; Lars Kunze; Nick Hawes (PlanSIG, 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)

Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework. - Lars Kunze; Tom Williams 001; Nick Hawes; Matthias Scheutz (AAAI Fall Symposia, 2017)

Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. - Bruno Lacerda; David Parker 001; Nick Hawes (ICAPS, 2017)

Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. - Jay Young; Valerio Basile; Markus Suchi; Lars Kunze; Nick Hawes; Markus Vincze; Barbara Caputo (AnSWeR@ESWC, 2017)

Semantic web-mining and deep vision for lifelong object discovery. - Jay Young; Lars Kunze; Valerio Basile; Elena Cabrio; Nick Hawes; Barbara Caputo (ICRA, 2017)

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 (IROS, 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)

Planning and Robotics (Dagstuhl Seminar 17031). - Malik Ghallab; Nick Hawes; Daniele Magazzeni; Brian C. Williams; Andrea Orlandini (Dagstuhl Reports, 2017)

Autonomous Learning of Object Models on a Mobile Robot. - Thomas Faulhammer; Rares Ambrus; Chris Burbridge; Michael Zillich; John Folkesson; Nick Hawes; Patric Jensfelt; Markus Vincze (IEEE Robotics Autom. Lett., 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)

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

Simultaneous Task Allocation and Planning Under Uncertainty. - Fatma Faruq; David Parker 001; Bruno Lacerda; Nick Hawes (IROS, 2018)

Introduction to the Special Issue on AI for Long-Term Autonomy. - Lars Kunze; Nick Hawes; Tom Duckett; Marc Hanheide (IEEE Robotics Autom. Lett., 2018)

Artificial Intelligence for Long-Term Robot Autonomy: A Survey. - Lars Kunze; Nick Hawes; Tom Duckett; Marc Hanheide; Tomás Krajník (IEEE Robotics Autom. Lett., 2018)

Robot Path Planning for Multiple Target Regions. - Shu Ishida; Marc Rigter; Nick Hawes (ECMR, 2019)

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

Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. - Masoumeh Mansouri; Bruno Lacerda; Nick Hawes; Federico Pecora (IJCAI, 2019)

Probabilistic planning with formal performance guarantees for mobile service robots. - Bruno Lacerda; Fatma Faruq; David Parker 001; Nick Hawes (Int. J. Robotics Res., 2019)

Special Issue on Reintegrating Artificial Intelligence and Robotics. - Federico Pecora; Masoumeh Mansouri; Nick Hawes; Lars Kunze (Künstliche Intell., 2019)

Convex Hull Monte-Carlo Tree-Search. - Michael Painter; Bruno Lacerda; Nick Hawes (ICAPS, 2020)

Long-Run Multi-Robot Planning With Uncertain Task Durations. - Carlos Azevedo; Bruno Lacerda; Nick Hawes; Pedro U. Lima (AAMAS, 2020)

Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. - Charlie Street; Bruno Lacerda; Manuel Mühlig; Nick Hawes (AAMAS, 2020)

Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. - Paul Duckworth; Bruno Lacerda; Nick Hawes (CoRL, 2020)

Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. - Carlos Azevedo; Bruno Lacerda; Nick Hawes; Pedro U. Lima (IROS, 2020)

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 (IROS, 2020)

Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. - Corrado Pezzato; Mohamed Baioumy; Carlos Hernández Corbato; Nick Hawes; Martijn Wisse; Riccardo M. G. Ferrari (IWAI, 2020)

A Framework for Learning From Demonstration With Minimal Human Effort. - Marc Rigter; Bruno Lacerda; Nick Hawes (IEEE Robotics Autom. Lett., 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)

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. - Marc Rigter; Bruno Lacerda; Nick Hawes (AAAI, 2021)

Risk-Aware Motion Planning in Partially Known Environments. - Fernando S. Barbosa; Bruno Lacerda; Paul Duckworth; Jana Tumova; Nick Hawes (CDC, 2021)

Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. - Alex Rutherford; Paul Duckworth; Nick Hawes; Bruno Lacerda (ECMR, 2021)

Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. - Mohamed Baioumy; Corrado Pezzato; Riccardo M. G. Ferrari; Carlos Hernández Corbato; Nick Hawes (ECC, 2021)

Active Inference for Integrated State-Estimation, Control, and Learning. - Mohamed Baioumy; Paul Duckworth; Bruno Lacerda; Nick Hawes (ICRA, 2021)

Risk-Averse Bayes-Adaptive Reinforcement Learning. - Marc Rigter; Bruno Lacerda; Nick Hawes (NeurIPS, 2021)

On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. - Mohamed Baioumy; Bruno Lacerda; Paul Duckworth; Nick Hawes (PKDD/ECML Workshops (1), 2021)

Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. - Mohamed Baioumy; Corrado Pezzato; Carlos Hernández Corbato; Nick Hawes; Riccardo M. G. Ferrari (PKDD/ECML Workshops (1), 2021)

Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. - Marc Rigter; Paul Duckworth; Bruno Lacerda; Nick Hawes (CoRR, 2021)

Online plan modification in uncertain resource-constrained environments. - Catherine A. Harris; Nick Hawes; Richard Dearden (Robotics Auton. Syst., 2021)

Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges. - Thomas Wright; Andrew West; Mauro Licata; Nick Hawes; Barry Lennox (Robotics, 2021)

Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots. - Manolis Chiou; Nick Hawes; Rustam Stolkin (ACM Trans. Hum. Robot Interact., 2021)

Planning for Risk-Aversion and Expected Value in MDPs. - Marc Rigter; Paul Duckworth; Bruno Lacerda; Nick Hawes (ICAPS, 2022)

Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. - Anna Gautier; Alex Stephens; Bruno Lacerda; Nick Hawes; Michael J. Wooldridge (AAMAS, 2022)

Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. - Charlie Street; Bruno Lacerda; Michal Staniaszek; Manuel Mühlig; Nick Hawes (AAMAS, 2022)

Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. - Matthew Budd; Paul Duckworth; Nick Hawes; Bruno Lacerda (CoRL, 2022)

Shared Autonomy Systems with Stochastic Operator Models. - Clarissa Costen; Marc Rigter; Bruno Lacerda; Nick Hawes (IJCAI, 2022)

Unbiased Active Inference for Classical Control. - Mohamed Baioumy; Corrado Pezzato; Riccardo M. G. Ferrari; Nick Hawes (IROS, 2022)

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 (IROS, 2022)

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. - Marc Rigter; Bruno Lacerda; Nick Hawes (NeurIPS, 2022)

Decision-making under uncertainty for multi-robot systems. - Bruno Lacerda; Anna Gautier; Alex Rutherford; Alex Stephens; Charlie Street; Nick Hawes (AI Commun., 2022)

Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. - Mohamed Baioumy; William Hartemink; Riccardo M. G. Ferrari; Nick Hawes (CoRR, 2022)

Congestion-Aware Policy Synthesis for Multirobot Systems. - Charlie Street; Sebastian Pütz; Manuel Mühlig; Nick Hawes; Bruno Lacerda (IEEE Trans. Robotics, 2022)

Planning with Hidden Parameter Polynomial MDPs. - Clarissa Costen; Marc Rigter; Bruno Lacerda; Nick Hawes (AAAI, 2023)

Multi-Unit Auctions for Allocating Chance-Constrained Resources. - Anna Gautier; Bruno Lacerda; Nick Hawes; Michael J. Wooldridge (AAAI, 2023)

Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. - Anna Gautier; Marc Rigter; Bruno Lacerda; Nick Hawes; Michael J. Wooldridge (AAMAS, 2023)

Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. - Paul Duckworth; Katherine A. Vallis; Bruno Lacerda; Nick Hawes (ECAI, 2023)

Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. - Michal Staniaszek; Lara Brudermüller; Raunak Bhattacharyya; Bruno Lacerda; Nick Hawes (ECMR, 2023)

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. - Julius Jankowski; Lara Brudermüller; Nick Hawes; Sylvain Calinon (ICRA, 2023)

Monte Carlo Tree Search with Boltzmann Exploration. - Michael Painter; Mohamed Baioumy; Nick Hawes; Bruno Lacerda (NeurIPS, 2023)

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. - Marc Rigter; Bruno Lacerda; Nick Hawes (NeurIPS, 2023)

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

DITTO: Offline Imitation Learning with World Models. - Branton DeMoss; Paul Duckworth; Nick Hawes; Ingmar Posner (CoRR, 2023)

Effects of Explanation Specificity on Passengers in Autonomous Driving. - Daniel Omeiza; Raunak Bhattacharyya; Nick Hawes; Marina Jirotka; Lars Kunze (CoRR, 2023)

JaxMARL: Multi-Agent RL Environments in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (CoRR, 2023)

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

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. - Matthew Budd; Bruno Lacerda; Nick Hawes (AAAI, 2024)

Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. - Clarissa Costen; Anna Gautier; Nick Hawes; Bruno Lacerda (AAMAS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (AAMAS, 2024)

Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. - Alex Stephens; Bruno Lacerda; Nick Hawes (ECAI, 2024)

Planning for Long-Term Monitoring Missions in Time-Varying Environments. - Alex Stephens; Bruno Lacerda; Nick Hawes (IROS, 2024)

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. - Alexander Rutherford; Michael Beukman; Timon Willi; Bruno Lacerda; Nick Hawes; Jakob N. Foerster (NeurIPS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Ravi Hammond; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; et al. (NeurIPS, 2024)

CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. - Lara Brudermüller; Guillaume Berger; Julius Jankowski; Raunak Bhattacharyya; Nick Hawes (CoRR, 2024)

Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization. - Julius Jankowski; Lara Brudermüller; Nick Hawes; Sylvain Calinon (CoRR, 2024)

Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. - Matthew Gadd; Daniele De Martini; Luke Pitt; Wayne Tubby; Matthew Towlson; Chris Prahacs; Oliver Bartlett; John Jackson; Man Qi; Paul Newman 001; Andrew Hector; Roberto Salguero-Gómez; et al. (CoRR, 2024)

AutoInspect: Towards Long-Term Autonomous Industrial Inspection. - Michal Staniaszek; Tobit Flatscher; Joseph Rowell; Hanlin Niu; Wenxing Liu; Yang You 003; Robert Skilton; Maurice F. Fallon; Nick Hawes (CoRR, 2024)

A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. - Daniel Omeiza; Raunak Bhattacharyya; Marina Jirotka; Nick Hawes; Lars Kunze (CoRR, 2024)

The Complexity Dynamics of Grokking. - Branton DeMoss; Silvia Sapora; Jakob N. Foerster; Nick Hawes; Ingmar Posner (CoRR, 2024)

Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. - Charlie Street; Bruno Lacerda; Manuel Mühlig; Nick Hawes (J. Artif. Intell. Res., 2024)

Planning under uncertainty for safe robot exploration using Gaussian process prediction. - Alex Stephens; Matthew Budd; Michal Staniaszek; Benoit Casseau; Paul Duckworth; Maurice F. Fallon; Nick Hawes; Bruno Lacerda (Auton. Robots, 2024)

Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. - Alex Stephens; Matthew Budd; Michal Staniaszek; Benoit Casseau; Paul Duckworth; Maurice F. Fallon; Nick Hawes; Bruno Lacerda (Auton. Robots, 2024)

A Framework for Simultaneous Task Allocation and Planning under Uncertainty. - Fatma Faruq; Bruno Lacerda; Nick Hawes; David Parker 001 (ACM Trans. Auton. Adapt. Syst., 2024)

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 (HRI, 2025)

Human-Robot Interaction in Extreme and Challenging Environments. - Leimin Tian; Pamela Carreno-Medrano; Manuel Giuliani; Nick Hawes; Raunak Bhattacharyya; Dana Kulic (HRI, 2025)

Time-bounded planning with uncertain task duration distributions. - Michal Staniaszek; Lara Brudermüller; Yang You 003; Raunak Bhattacharyya; Bruno Lacerda; Nick Hawes (Robotics Auton. Syst., 2025)

Ro-To-Go! Robust Reactive Control with Signal Temporal Logic. - Roland B. Ilyes; Lara Brudermüller; Nick Hawes; Bruno Lacerda (CoRR, 2025)

LUMOS: Language-Conditioned Imitation Learning with World Models. - Iman Nematollahi; Branton DeMoss; Akshay L. Chandra; Nick Hawes; Wolfram Burgard; Ingmar Posner (CoRR, 2025)

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. - Rhys Howard; Nick Hawes; Lars Kunze (CoRR, 2025)

Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? - Duc-An Nguyen; Raunak Bhattacharyya; Clara Colombatto; Steve Fleming; Ingmar Posner; Nick Hawes (CoRR, 2025)

Decremental Dynamics Planning for Robot Navigation. - Yuanjie Lu; Tong Xu; Linji Wang; Nick Hawes; Xuesu Xiao (CoRR, 2025)

Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation. - Harry Mead; Clarissa Costen; Bruno Lacerda; Nick Hawes (CoRR, 2025)

A Finite-State Controller Based Offline Solver for Deterministic POMDPs. - Alex Schutz; Yang You 003; Matías Mattamala; Ipek Caliskanelli; Bruno Lacerda; Nick Hawes (CoRR, 2025)

Partially Observable Monte-Carlo Graph Search. - Yang You 003; Vincent Thomas; Alex Schutz; Robert Skilton; Nick Hawes; Olivier Buffet (CoRR, 2025)

Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach. - Duc-An Nguyen; Clara Colombatto; Steve Fleming; Ingmar Posner; Nick Hawes; Raunak Bhattacharyya (CoRR, 2025)