Nick Hawes

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 100

Top Venues

Publications

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS (2024)
Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda
Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS (2024)
Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR (2024)
Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. 79 (2024)
Michal Staniaszek, Tobit Flatscher, Joseph Rowell, Hanlin Niu, Wenxing Liu, Yang You, Robert Skilton, Maurice F. Fallon, Nick Hawes
AutoInspect: Towards Long-Term Autonomous Industrial Inspection. CoRR (2024)
Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization. CoRR (2024)
Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. CoRR (2024)
Matthew Budd, Bruno Lacerda, Nick Hawes
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI (2024)
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. CoRR (2024)
Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots 48 (6-7) (2024)
Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze
Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR (2023)
Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47 (1) (2023)
Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI (2023)
Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI (2023)
Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR (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)
Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
DITTO: Offline Imitation Learning with World Models. CoRR (2023)
Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS (2023)
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS (2023)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Planning with Hidden Parameter Polynomial MDPs. AAAI (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS (2023)
Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. ICRA (2023)
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
JaxMARL: Multi-Agent RL Environments in JAX. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR (2022)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS (2022)
Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. CoRR (2022)
Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. CoRR (2022)
Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda
Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics 38 (1) (2022)
Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS (2022)
Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes
Decision-making under uncertainty for multi-robot systems. AI Commun. 35 (4) (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR (2022)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Shared Autonomy Systems with Stochastic Operator Models. IJCAI (2022)
Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS (2022)
Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda
Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. IROS (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
Unbiased Active Inference for Classical Control. IROS (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Nick Hawes
Unbiased Active Inference for Classical Control. CoRR (2022)
Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes
Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. CoRR (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS (2021)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA (2021)
Catherine A. Harris, Nick Hawes, Richard Dearden
Online plan modification in uncertain resource-constrained environments. Robotics Auton. Syst. 140 (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI (2021)
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Carlos Hernández Corbato, Nick Hawes
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. ECC (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR (2021)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CDC (2021)
Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato, Nick Hawes, Riccardo Ferrari
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. CoRR (2021)
Manolis Chiou, Nick Hawes, Rustam Stolkin
Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots. ACM Trans. Hum. Robot Interact. 10 (4) (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CoRR (2021)
Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) (2021)
Thomas Wright, Andrew West, Mauro Licata, Nick Hawes, Barry Lennox
Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges. Robotics 10 (3) (2021)
Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) (2021)
Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS (2020)
Paul Duckworth, Bruno Lacerda, Nick Hawes
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL (2020)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR (2020)
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)
Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS (2020)
Michael Painter, Bruno Lacerda, Nick Hawes
Convex Hull Monte-Carlo Tree-Search. ICAPS (2020)
Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari
Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. IWAI (2020)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5 (2) (2020)
Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS (2020)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR (2020)
Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes
Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS (2020)
Michael Painter, Bruno Lacerda, Nick Hawes
Convex Hull Monte-Carlo Tree Search. CoRR (2020)
Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI (2019)
Manolis Chiou, Nick Hawes, Rustam Stolkin
Mixed-Initiative variable autonomy for remotely operated mobile robots. CoRR (2019)
Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR (2019)
Shu Ishida, Marc Rigter, Nick Hawes
Robot Path Planning for Multiple Target Regions. ECMR (2019)
Federico Pecora, Masoumeh Mansouri, Nick Hawes, Lars Kunze
Special Issue on Reintegrating Artificial Intelligence and Robotics. Künstliche Intell. 33 (4) (2019)
Bruno Lacerda, Fatma Faruq, David Parker, Nick Hawes
Probabilistic planning with formal performance guarantees for mobile service robots. Int. J. Robotics Res. 38 (9) (2019)
Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. CoRR (2018)
Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. IEEE Robotics Autom. Lett. 3 (4) (2018)
Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide
Introduction to the Special Issue on AI for Long-Term Autonomy. IEEE Robotics Autom. Lett. 3 (4) (2018)
Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
Simultaneous Task Allocation and Planning Under Uncertainty. CoRR (2018)
Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS (2018)
Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes
Simultaneous Task Allocation and Planning Under Uncertainty. IROS (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)
Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work. CoRR (2017)
Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo
Learning deep visual object models from noisy web data: How to make it work. IROS (2017)
Lars Kunze, Tom Williams, Nick Hawes, Matthias Scheutz
Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework. AAAI Fall Symposia (2017)
Bruno Lacerda, David Parker, Nick Hawes
Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS (2017)
Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini
Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports 7 (1) (2017)
Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo
Semantic web-mining and deep vision for lifelong object discovery. ICRA (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)
Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze
Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics Autom. Lett. 2 (1) (2017)
Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. ESWC (Satellite Events) (2017)
Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. AnSWeR@ESWC (2017)
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)
Manolis Chiou, Rustam Stolkin, Goda Bieksaite, Nick Hawes, Kimron L. Shapiro, Timothy S. Harrison
Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot. IROS (2016)
Lenka Mudrová, Bruno Lacerda, Nick Hawes
Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI (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)
Manolis Chiou, Goda Bieksaite, Nick Hawes, Rustam Stolkin
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. AAAI Fall Symposia (2016)
Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes
Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. ECAI (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)
Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn
Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS (2016)
Christopher McGreavy, Lars Kunze, Nick Hawes
Next Best View Planning for Object Recognition in Mobile Robotics. PlanSIG (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nick Hawes