Nick Hawes - RankMe

195 papers A* 38A 30B 3Misc 2Journal 81Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Failing Forward: Design and Deployment Lessons from Real-World Human-Robot Interaction. HRI Companion 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
2026	J	`jnl`	Generative Models From and for Sampling-Based MPC: A Bootstrapped Approach for Adaptive Contact-Rich Manipulation. IEEE Robotics Autom. Lett. Lara Brudermüller, Brandon Hung, Xinghao Zhu, Jiuguang Wang, Nick Hawes, Preston Culbertson, Simon Le Cleac'h
2026	J	`jnl`	Improving Regret Approximation for Unsupervised Dynamic Environment Generation. CoRR Harry Mead, Bruno Lacerda, Jakob N. Foerster, Nick Hawes
2026	J	`jnl`	Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders. CoRR Victor-Alexandru Darvariu, Charlotte Z. Reed, Jan Stratmann, Bruno Lacerda, Benjamin Allsup, Stephen Woodward, Elizabeth Siddle, Trishna Saeharaseelan, Owain Jones, Dan Jones, Tobias Ferreira, Chloe Baker, Kevin Chaplin, James Kirk, Ashley Morris, Ryan Patmore, Jeff Polton, Charlotte Williams, Alexandra Kokkinaki, Alvaro Lorenzo-Lopez, Justin J. H. Buck, Nick Hawes
2026	J	`jnl`	Risk-Aware Reinforcement Learning for Mobile Manipulation. CoRR Michael Groom, James Wilson, Nick Hawes, Lars Kunze
2026	A*	`conf`	Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. AAAI Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes
2025	A*	`conf`	A Finite-State Controller Based Offline Solver for Deterministic POMDPs. IJCAI Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	A Finite-State Controller Based Offline Solver for Deterministic POMDPs. CoRR Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning. CoRR Milan Ding, Victor-Alexandru Darvariu, Alexander N. Ryabtsev, Nick Hawes, Juliet C. Pickering
2025	—	`conf`	CHiPS: Composing Hierarchical Pareto Solutions for Scalable Planning in Multi-Objective MDPs. ECMR Carl Hentges, Matthew Budd, Andrew Platt, Bruno Lacerda, David Parker, Nick Hawes
2025	A	`conf`	Decremental Dynamics Planning for Robot Navigation. IROS Yuanjie Lu, Tong Xu, Linji Wang, Nick Hawes, Xuesu Xiao
2025	J	`jnl`	Decremental Dynamics Planning for Robot Navigation. CoRR Yuanjie Lu, Tong Xu, Linji Wang, Nick Hawes, Xuesu Xiao
2025	J	`jnl`	Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach. CoRR Duc-An Nguyen, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes, Raunak Bhattacharyya
2025	J	`jnl`	Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions. CoRR Junlin Xiao, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes
2025	A*	`conf`	Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. ICRA Rhys Howard, Nick Hawes, Lars Kunze
2025	J	`jnl`	Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles. CoRR Rhys Howard, Nick Hawes, Lars Kunze
2025	J	`jnl`	Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation. CoRR Lara Brudermüller, Brandon Hung, Xinghao Zhu, Jiuguang Wang, Nick Hawes, Preston Culbertson, Simon Le Cleac'h
2025	A*	`conf`	Group Decision-Making in Robot Teleoperation: Two Heads are Better Than One. HRI Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes
2025	A*	`conf`	Human-Robot Interaction in Extreme and Challenging Environments. HRI Leimin Tian, Pamela Carreno-Medrano, Manuel Giuliani, Nick Hawes, Raunak Bhattacharyya, Dana Kulic
2025	J	`jnl`	JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning. CoRR Ufuk Çakir, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? CoRR Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes
2025	A*	`conf`	LUMOS: Language-Conditioned Imitation Learning with World Models. ICRA Iman Nematollahi, Branton DeMoss, Akshay L. Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner
2025	J	`jnl`	LUMOS: Language-Conditioned Imitation Learning with World Models. CoRR Iman Nematollahi, Branton DeMoss, Akshay L. Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner
2025	A	`conf`	Multi-Agent Pickup and Delivery with Mobile Pickups. IROS Benedetta Flammini, Nick Hawes, Bruno Lacerda
2025	J	`jnl`	Neural Value Iteration. CoRR Yang You, Ufuk Çakir, Alex Schutz, Robert Skilton, Nick Hawes
2025	J	`jnl`	Partially Observable Monte-Carlo Graph Search. CoRR Yang You, Vincent Thomas, Alex Schutz, Robert Skilton, Nick Hawes, Olivier Buffet
2025	A*	`conf`	Return Capping: Sample Efficient CVaR Policy Gradient Optimisation. ICML Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation. CoRR Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Ro-To-Go! Robust Reactive Control with Signal Temporal Logic. CoRR Roland B. Ilyes, Lara Brudermüller, Nick Hawes, Bruno Lacerda
2025	J	`jnl`	Robust pushing: Exploiting quasi-static belief dynamics and contact-informed optimization. Int. J. Robotics Res. Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
2025	J	`jnl`	Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. CoRR Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes
2025	J	`jnl`	Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning. CoRR Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Time-bounded planning with uncertain task duration distributions. Robotics Auton. Syst. Michal Staniaszek, Lara Brudermüller, Yang You, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
2024	J	`jnl`	A Framework for Simultaneous Task Allocation and Planning under Uncertainty. ACM Trans. Auton. Adapt. Syst. Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
2024	J	`jnl`	A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. CoRR Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze
2024	J	`jnl`	AutoInspect: Towards Long-Term Autonomous Industrial Inspection. CoRR Michal Staniaszek, Tobit Flatscher, Joseph Rowell, Hanlin Niu, Wenxing Liu, Yang You, Robert Skilton, Maurice F. Fallon, Nick Hawes
2024	J	`jnl`	CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. CoRR Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes
2024	J	`jnl`	Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Auton. Robots Alex Stephens, Matthew Budd, Michal Staniaszek, Benoît Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
2024	A	`conf`	Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. ECAI Alex Stephens, Bruno Lacerda, Nick Hawes
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 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
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, 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
2024	J	`jnl`	Monte Carlo Tree Search with Boltzmann Exploration. CoRR Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2024	A	`conf`	Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda
2024	A*	`conf`	No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. NeurIPS Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024	J	`jnl`	No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. CoRR Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024	A	`conf`	Planning for Long-Term Monitoring Missions in Time-Varying Environments. IROS Alex Stephens, Bruno Lacerda, Nick Hawes
2024	J	`jnl`	Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization. CoRR Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
2024	J	`jnl`	Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots Alex Stephens, Matthew Budd, Michal Staniaszek, Benoît Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
2024	J	`jnl`	Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
2024	A*	`conf`	Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI Matthew Budd, Bruno Lacerda, Nick Hawes
2024	J	`jnl`	The Complexity Dynamics of Grokking. CoRR Branton DeMoss, Silvia Sapora, Jakob N. Foerster, Nick Hawes, Ingmar Posner
2024	J	`jnl`	Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR 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
2023	J	`jnl`	A Framework for Learning from Demonstration with Minimal Human Effort. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
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`	DITTO: Offline Imitation Learning with World Models. CoRR Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
2023	—	`conf`	Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
2023	J	`jnl`	Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze
2023	J	`jnl`	Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR 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
2023	A*	`conf`	Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2023	A*	`conf`	Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2023	A*	`conf`	One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2023	A*	`conf`	Planning with Hidden Parameter Polynomial MDPs. AAAI Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
2023	A	`conf`	Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes
2023	A	`conf`	Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2023	A*	`conf`	VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. ICRA Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
2022	Misc	`conf`	Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
2022	J	`jnl`	Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. CoRR Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes
2022	J	`jnl`	Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda
2022	A	`conf`	Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes
2022	J	`jnl`	Decision-making under uncertainty for multi-robot systems. AI Commun. Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes
2022	A	`conf`	Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2022	J	`jnl`	One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2022	A*	`conf`	Planning for Risk-Aversion and Expected Value in MDPs. ICAPS Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
2022	A	`conf`	Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. IROS Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda
2022	A*	`conf`	RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2022	J	`jnl`	RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2022	A*	`conf`	Shared Autonomy Systems with Stochastic Operator Models. IJCAI Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
2022	A	`conf`	Unbiased Active Inference for Classical Control. IROS Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
2022	J	`jnl`	Unbiased Active Inference for Classical Control. CoRR Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
2022	J	`jnl`	VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. CoRR Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon
2021	A*	`conf`	Active Inference for Integrated State-Estimation, Control, and Learning. ICRA Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2021	—	`conf`	Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. ECC Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
2021	J	`jnl`	Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. CoRR Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
2021	J	`jnl`	Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
2021	A*	`conf`	Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI Marc Rigter, Bruno Lacerda, Nick Hawes
2021	J	`jnl`	Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots. ACM Trans. Hum. Robot Interact. Manolis Chiou, Nick Hawes, Rustam Stolkin
2021	—	`conf`	Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
2021	—	`conf`	On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021	J	`jnl`	On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021	J	`jnl`	Online plan modification in uncertain resource-constrained environments. Robotics Auton. Syst. Catherine A. Harris, Nick Hawes, Richard Dearden
2021	A*	`conf`	Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2021	J	`jnl`	Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2021	—	`conf`	Risk-Aware Motion Planning in Partially Known Environments. CDC Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
2021	J	`jnl`	Risk-Aware Motion Planning in Partially Known Environments. CoRR Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
2021	J	`jnl`	Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges. Robotics Thomas Wright, Andrew West, Mauro Licata, Nick Hawes, Barry Lennox
2021	—	`conf`	Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
2021	J	`jnl`	Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. CoRR Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
2020	J	`jnl`	A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. Marc Rigter, Bruno Lacerda, Nick Hawes
2020	—	`conf`	Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. IWAI Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari
2020	J	`jnl`	Active Inference for Integrated State-Estimation, Control, and Learning. CoRR Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
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`	Convex Hull Monte-Carlo Tree Search. CoRR Michael Painter, Bruno Lacerda, Nick Hawes
2020	A*	`conf`	Convex Hull Monte-Carlo Tree-Search. ICAPS Michael Painter, Bruno Lacerda, Nick Hawes
2020	A	`conf`	Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
2020	A	`conf`	Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
2020	A	`conf`	Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes
2020	J	`jnl`	Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2020	A	`conf`	Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
2020	Misc	`conf`	Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL Paul Duckworth, Bruno Lacerda, Nick Hawes
2019	—	`conf`	Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
2019	J	`jnl`	Mixed-Initiative variable autonomy for remotely operated mobile robots. CoRR Manolis Chiou, Nick Hawes, Rustam Stolkin
2019	A*	`conf`	Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora
2019	J	`jnl`	Probabilistic planning with formal performance guarantees for mobile service robots. Int. J. Robotics Res. Bruno Lacerda, Fatma Faruq, David Parker, Nick Hawes
2019	—	`conf`	Robot Path Planning for Multiple Target Regions. ECMR Shu Ishida, Marc Rigter, Nick Hawes
2019	J	`jnl`	Special Issue on Reintegrating Artificial Intelligence and Robotics. Künstliche Intell. Federico Pecora, Masoumeh Mansouri, Nick Hawes, Lars Kunze
2018	J	`jnl`	Artificial Intelligence for Long-Term Robot Autonomy: A Survey. CoRR Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník
2018	J	`jnl`	Artificial Intelligence for Long-Term Robot Autonomy: A Survey. IEEE Robotics Autom. Lett. Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník
2018	A	`conf`	Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes
2018	J	`jnl`	Introduction to the Special Issue on AI for Long-Term Autonomy. IEEE Robotics Autom. Lett. Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide
2018	A	`conf`	Simultaneous Task Allocation and Planning Under Uncertainty. IROS Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes
2018	J	`jnl`	Simultaneous Task Allocation and Planning Under Uncertainty. CoRR Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
2017	J	`jnl`	Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics Autom. Lett. Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze
2017	J	`jnl`	Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work. CoRR Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo
2017	A	`conf`	Learning deep visual object models from noisy web data: How to make it work. IROS Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo
2017	—	`conf`	Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. AnSWeR@ESWC Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo
2017	—	`conf`	Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. ESWC (Satellite Events) Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo
2017	A*	`conf`	Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS Bruno Lacerda, David Parker, Nick Hawes
2017	J	`jnl`	Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini
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	A*	`conf`	Semantic web-mining and deep vision for lifelong object discovery. ICRA Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo
2017	—	`conf`	Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework. AAAI Fall Symposia Lars Kunze, Tom Williams, Nick Hawes, Matthias Scheutz
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
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	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	A	`conf`	Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot. IROS Manolis Chiou, Rustam Stolkin, Goda Bieksaite, Nick Hawes, Kimron L. Shapiro, Timothy S. Harrison
2016	—	`conf`	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 Manolis Chiou, Goda Bieksaite, Nick Hawes, Rustam Stolkin
2016	—	`conf`	Next Best View Planning for Object Recognition in Mobile Robotics. PlanSIG Christopher McGreavy, Lars Kunze, Nick Hawes
2016	A	`conf`	Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI Lenka Mudrová, Bruno Lacerda, Nick Hawes
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	A	`conf`	Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. ECAI Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes
2016	A	`conf`	Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn
2015	A*	`conf`	A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding. AAAI Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes
2015	J	`jnl`	A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff
2015	—	`conf`	An integrated control framework for long-term autonomy in mobile service robots. ECMR Lenka Mudrová, Bruno Lacerda, Nick Hawes
2015	A	`conf`	Learning By Observation Using Qualitative Spatial Relations. AAMAS Jay Young, Nick Hawes
2015	—	`conf`	Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). AAAI Fall Symposia Bruno Lacerda, David Parker, Nick Hawes
2015	A*	`conf`	Now or later? Predicting and maximising success of navigation actions from long-term experience. ICRA Jaime Pulido Fentanes, Bruno Lacerda, Tomás Krajník, Nick Hawes, Marc Hanheide
2015	A*	`conf`	Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. IJCAI Bruno Lacerda, David Parker, Nick Hawes
2015	—	`conf`	Robot plans execution for information gathering tasks with resources constraints. ECMR Minlue Wang, Richard Dearden, Nick Hawes
2015	A*	`conf`	Task scheduling for mobile robots using interval algebra. ICRA Lenka Mudrová, Nick Hawes
2015	B	`conf`	Towards the Principled Study of Variable Autonomy in Mobile Robots. SMC Manolis Chiou, Nick Hawes, Rustam Stolkin, Kimron L. Shapiro, Jess R. Kerlin, Andrew Clouter
2014	—	`conf`	Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search. AAAI Spring Symposia Lars Kunze, Chris Burbridge, Nick Hawes
2014	A	`conf`	Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. IROS Lars Kunze, Chris Burbridge, Marina Alberti, Akshaya Thippur, John Folkesson, Patric Jensfelt, Nick Hawes
2014	—	`conf`	Committees. AAAI Spring Symposia Nick Hawes
2014	—	`conf`	Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System. AAAI Spring Symposia Jay Young, Nick Hawes
2014	—	`conf`	Improving the Generation of Rapidly Exploring Randomised Trees (RRTs) in Large Scale Virtual Environments Using Trails. TAROS Katrina Samperi, Nick Hawes
2014	—	`conf`	Learning Micro-Management Skills in RTS Games by Imitating Experts. AIIDE Jay Young, Nick Hawes
2014	A	`conf`	Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. IROS Bruno Lacerda, David Parker, Nick Hawes
2014	J	`jnl`	Reports of the 2014 AAAI Spring Symposium Series. AI Mag. 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, Nick Hawes, Tim Hwang
2014	A*	`conf`	Using Qualitative Spatial Relations for indirect object search. ICRA Lars Kunze, Keerthi Kumar Doreswamy, Nick Hawes
2013	—	`conf`	Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. AAAI Fall Symposia Jay Young, Nick Hawes
2013	A*	`conf`	Robot george: interactive continuous learning of visual concepts. HRI Michael Zillich, Kai Zhou, Danijel Skocaj, Matej Kristan, Alen Vrecko, Miroslav Janícek, Geert-Jan M. Kruijff, Thomas Keller, Marc Hanheide, Nick Hawes, Marko Mahnic
2012	—	`conf`	Controlling Anytime Scheduling of Observation Tasks. SGAI Conf. J. W. Baxter, Jack Hargreaves, Nick Hawes, Rustam Stolkin
2012	—	`conf`	Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. AIIDE Jay Young, Nick Hawes
2012	—	`conf`	Please keep off the grass: individual norms in virtual worlds. BCS HCI Katrina Samperi, Russell Beale, Nick Hawes
2012	A*	`conf`	Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. AAAI Nick Hawes, Matthew Klenk, Kate Lockwood, Graham S. Horn, John D. Kelleher
2011	J	`jnl`	A survey of motivation frameworks for intelligent systems. Artif. Intell. Nick Hawes
2011	A	`conf`	A system for interactive learning in dialogue with a tutor. IROS Danijel Skocaj, Matej Kristan, Alen Vrecko, Marko Mahnic, Miroslav Janícek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Thomas Keller, Michael Zillich, Kai Zhou
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	A*	`conf`	Home alone: Autonomous extension and correction of spatial representations. ICRA Nick Hawes, Marc Hanheide, Jack Hargreaves, Ben Page, Hendrik Zender, Patric Jensfelt
2011	—	`conf`	Representing and Reasoning About Spatial Regions Defined by Context. AAAI Fall Symposium: Advances in Cognitive Systems Matthew Klenk, Nick Hawes, Kate Lockwood
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	—	`conf`	CAST: Middleware for Memory-Based Architectures. Enabling Intelligence through Middleware Nick Hawes, Marc Hanheide
2010	A	`conf`	Dora the Explorer: a motivated robot. AAMAS Nick Hawes, Marc Hanheide, Kristoffer Sjöö, Alper Aydemir, Patric Jensfelt, Moritz Göbelbecker, Michael Brenner, Hendrik Zender, Pierre Lison, Ivana Kruijff-Korbayová, Geert-Jan M. Kruijff, Michael Zillich
2010	J	`jnl`	Engineering intelligent information-processing systems with CAST. Adv. Eng. Informatics Nick Hawes, Jeremy L. Wyatt
2010	—	`ch.`	Lessons Learnt from Scenario-Based Integration. Cognitive Systems Nick Hawes, Michael Zillich, Patric Jensfelt
2010	—	`ch.`	Planning and Failure Detection. Cognitive Systems Michael Brenner, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, Nick Hawes
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.`	Situated Dialogue Processing for Human-Robot Interaction. Cognitive Systems Geert-Jan M. Kruijff, Pierre Lison, Trevor Benjamin, Henrik Jacobsson, Hendrik Zender, Ivana Kruijff-Korbayová, Nick Hawes
2010	—	`ch.`	The Explorer System. Cognitive Systems Kristoffer Sjöö, Hendrik Zender, Patric Jensfelt, Geert-Jan M. Kruijff, Andrzej Pronobis, Nick Hawes, Michael Brenner
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	A	`conf`	A computer vision integration model for a multi-modal cognitive system. IROS Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis
2009	—	`conf`	Architectures by Design: The Iterative Development of an Integrated Intelligent Agent. SGAI Conf. Nick Hawes
2009	J	`jnl`	Exploring design space for an integrated intelligent system. Knowl. Based Syst. Nick Hawes, Jeremy L. Wyatt, Aaron Sloman
2009	A*	`conf`	Planning as an architectural control mechanism. HRI Nick Hawes, Michael Brenner, Kristoffer Sjöö
2008	B	`conf`	Continual planning for cross-modal situated clarification in human-robot interaction. RO-MAN Geert-Jan M. Kruijff, Michael Brenner, Nick Hawes
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	—	`conf`	Multiple Workspaces as an Architecture for Cognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Jeremy L. Wyatt, Nick Hawes
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	—	`conf`	Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue. PIT Geert-Jan M. Kruijff, John D. Kelleher, Nick Hawes
2000	—	`conf`	Real Time Goal Orientated Behaviour for Computer Game Agents. GAME-ON Nick Hawes