Showing 50 publications by Nick Hawes
Experimental drought reduces the productivity and stability of a recovering calcareous grassland
Jackson J, Middleton SL, Lawson CS, Jardine E, Hawes N et al. (2023)
RAMBO-RL: robust adversarial model-based offline reinforcement learning
Rigter M, Lacerda B & Hawes N (2023), Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
BibTeX
@inproceedings{ramborlrobustad-2023/4,
title={RAMBO-RL: robust adversarial model-based offline reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={36th Conference on Neural Information Processing Systems (NeurIPS 2022)},
year = "2023"
}
DITTO: Offline Imitation Learning with World Models
DeMoss B, Duckworth P, Hawes N & Posner I (2023)
BibTeX
@misc{dittoofflineimi-2023/2,
title={DITTO: Offline Imitation Learning with World Models},
author={DeMoss B, Duckworth P, Hawes N & Posner I},
year = "2023"
}
Bayesian reinforcement learning for single-episode missions in partially unknown environments
Budd M, Duckworth P, Hawes N & Lacerda B (2022), Proceedings of the 6th Conference on Robot Learning (CoRL 2022)
BibTeX
@inproceedings{bayesianreinfor-2022/10,
title={Bayesian reinforcement learning for single-episode missions in partially unknown environments},
author={Budd M, Duckworth P, Hawes N & Lacerda B},
booktitle={6th Conference on Robot Learning (CoRL 2022)},
year = "2022"
}
Shared autonomy systems with stochastic operator models
Costen C, Rigter M, Lacerda B & Hawes N (2022), Proceedings of the 31st International Joint Conferences on Artificial Intelligence Organization (IJCAI 2022), 4614-4620
Beta residuals: improving fault-tolerant control for sensory faults via bayesian inference and precision learning
Baioumy M, Hartemink W, Ferrari R & Hawes N (2022), IFAC-PapersOnLine, 55(6), 285-291
Time-bounded large-scale mission planning under uncertainty for UV disinfection
Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N (2022)
BibTeX
@inproceedings{timeboundedlarg-2022/6,
title={Time-bounded large-scale mission planning under uncertainty for UV disinfection},
author={Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N},
booktitle={PlanRob: ICAPS 2022 Workshop on Planning and Robotics},
year = "2022"
}
Planning for Risk-Aversion and Expected Value in MDPs
Rigter M, Duckworth P, Lacerda B & Hawes N (2022), Proceedings International Conference on Automated Planning and Scheduling, ICAPS, 32, 307-315
Context-aware modelling for multi-robot systems under uncertainty
Street C, Lacerda B, Staniaszek M, Mühlig M & Hawes N (2022), Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
BibTeX
@inproceedings{contextawaremod-2022/5,
title={Context-aware modelling for multi-robot systems under uncertainty},
author={Street C, Lacerda B, Staniaszek M, Mühlig M & Hawes N},
booktitle={21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022},
year = "2022"
}
Risk-aware motion planning in partially known environments
Hawes N, Barbosa FS, Lacerda B, Duckworth P & Tumova J (2022), Proceedings of the 60th IEEE Conference on Decision and Control (CDC 2021), 5220-5226
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems
Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M (2022), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1, 472-480
BibTeX
@inproceedings{negotiatedpathp-2022/1,
title={Negotiated Path Planning for Non-Cooperative Multi-Robot Systems},
author={Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M},
pages={472-480},
year = "2022"
}
Efficiently exploring for human robot interaction: partially observable Poisson processes
Jovan F, Tomy M, Hawes N & Wyatt J (2022), AUTONOMOUS ROBOTS
Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks
Budd M, Salavasidis G, Karnarudzaman I, Harris CA, Phillips AB et al. (2022), IEEE International Conference on Intelligent Robots and Systems, 2022-October, 12051-12057
Decision-making under uncertainty for multi-robot systems
Lacerda B, Gautier A, Rutherford A, Stephens A, Street C et al. (2022), AI COMMUNICATIONS, 35(4), 433-441
Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots
Chiou M, Hawes N & Stolkin R (2021), ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION, 10(4)
Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes
Duckworth P, Lacerda B & Hawes N (2021), Proceedings of the 2020 Conference on Robot Learning, 1654-1668
BibTeX
@inproceedings{timeboundedmiss-2021/10,
title={Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes},
author={Duckworth P, Lacerda B & Hawes N},
booktitle={4th Annual Conference on Robot Learning (CoRL2020)},
pages={1654-1668},
year = "2021"
}
Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges
Wright T, West A, Licata M, Hawes N & Lennox B (2021), ROBOTICS, 10(3)
Mixed observability MDPs for shared autonomy with uncertain human behaviour
Costen C, Rigter M, Lacerda B & Hawes N (2021), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
BibTeX
@inproceedings{mixedobservabil-2021/8,
title={Mixed observability MDPs for shared autonomy with uncertain human behaviour},
author={Costen C, Rigter M, Lacerda B & Hawes N},
booktitle={Thirtieth International Joint Conference on Artificial Intelligence (IJCAI21)},
year = "2021"
}
Congestion-Aware Policy Synthesis for Multirobot Systems
Street C, Puetz S, Muehlig M, Hawes N & Lacerda B (2021), IEEE TRANSACTIONS ON ROBOTICS
Online plan modification in uncertain resource-constrained environments
Harris CA, Hawes N & Dearden R (2021), Robotics and Autonomous Systems, 140
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
Baioumy M, Pezzato C, Ferrari R, Corbato CH & Hawes N (2021), 2021 European Control Conference (ECC)
Minimax regret optimisation for robust planning in uncertain Markov decision processes
Rigter M, Lacerda B & Hawes N (2021), Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 11930-11938
BibTeX
@inproceedings{minimaxregretop-2021/5,
title={Minimax regret optimisation for robust planning in uncertain Markov decision processes},
author={Rigter M, Lacerda B & Hawes N},
booktitle={Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)},
pages={11930-11938},
year = "2021"
}
Active Inference for Integrated State-Estimation, Control, and Learning
Baioumy M, Duckworth P, Lacerda B & Hawes N (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA)
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
Baioumy M, Pezzato C, Ferrari R, Corbato CH & Hawes N (2021)
BibTeX
@misc{faulttolerantco-2021/4,
title={Fault-tolerant Control of Robot Manipulators with Sensory Faults using
Unbiased Active Inference},
author={Baioumy M, Pezzato C, Ferrari R, Corbato CH & Hawes N},
year = "2021"
}
Long-run multi-robot planning under uncertain action durations for persistent tasks
Azevedo C, Lacerda B, Hawes N & Lima P (2021), Proceedings of the IEEE International Workshop on Intelligent Robots and Systems (IROS), 4323-4328
Markov decision processes with unknown state feature values for safe exploration using Gaussian processes
Budd M, Lacerda B, Duckworth P, West A, Lennox B et al. (2021), 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7344-7350
BibTeX
@inproceedings{markovdecisionp-2021/2,
title={Markov decision processes with unknown state feature values for safe exploration using Gaussian processes},
author={Budd M, Lacerda B, Duckworth P, West A, Lennox B et al.},
booktitle={IROS 2020: International Conference on Intelligent Robots and Systems},
pages={7344-7350},
year = "2021"
}
Risk-Averse Bayes-Adaptive Reinforcement Learning
Rigter M, Lacerda B & Hawes N (2021)
BibTeX
@misc{riskaversebayes-2021/2,
title={Risk-Averse Bayes-Adaptive Reinforcement Learning},
author={Rigter M, Lacerda B & Hawes N},
year = "2021"
}
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference
Baioumy M, Lacerda B, Duckworth P & Hawes N (2021), Communications in Computer and Information Science, 1524 CCIS, 819-829
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference
Baioumy M, Pezzato C, Corbato CH, Hawes N & Ferrari R (2021), Communications in Computer and Information Science, 1524 CCIS, 681-691
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Rigter M, Lacerda B, Hawes N & Intelligence AAA (2021)
BibTeX
@misc{minimaxregretop-2021/,
title={Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes},
author={Rigter M, Lacerda B, Hawes N & Intelligence AAA},
year = "2021"
}
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes
Rutherford A, Duckworth P, Hawes N & Lacerda B (2021), 10TH EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR 2021)
Active inference for fault tolerant control of robot manipulators with sensory faults
Pezzato C, Baioumy M, Corbato C, Hawes N, Wisse M et al. (2020), Active Inference , 20-27
BibTeX
@inproceedings{activeinference-2020/12,
title={Active inference for fault tolerant control of robot manipulators with sensory faults},
author={Pezzato C, Baioumy M, Corbato C, Hawes N, Wisse M et al.},
booktitle={IWAI 2020: 1st International Workshop on Active Inference held in conjunction with ECML PKDD 2020},
pages={20-27},
year = "2020"
}
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty
Tomy M, Lacerda B, Hawes N & Wyatt J (2020), Robotics and Autonomous Systems, 133(November 2020)
BibTeX
@article{batterychargesc-2020/9,
title={Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty},
author={Tomy M, Lacerda B, Hawes N & Wyatt J},
journal={Robotics and Autonomous Systems},
volume={133},
number={103629},
publisher={Elsevier},
year = "2020"
}
Convex Hull Monte-Carlo Tree Search
Painter M, Lacerda B & Hawes N (2020), Vol 30 (2020): Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling
BibTeX
@article{convexhullmonte-2020/6,
title={Convex Hull Monte-Carlo Tree Search},
author={Painter M, Lacerda B & Hawes N},
journal={Vol 30 (2020): Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling},
year = "2020"
}
Active Inference for Integrated State-Estimation, Control, and Learning
Baioumy M, Duckworth P, Lacerda B & Hawes N (2020)
BibTeX
@article{activeinference-2020/5,
title={Active Inference for Integrated State-Estimation, Control, and Learning},
author={Baioumy M, Duckworth P, Lacerda B & Hawes N},
journal={},
year = "2020"
}
Multi-robot planning under uncertainty with congestion-aware models
Hawes N, Street C, Lacerda B & Mühlig M (2020), Proceedings of AAMAS 2020
BibTeX
@inproceedings{multirobotplann-2020/5,
title={Multi-robot planning under uncertainty with congestion-aware models},
author={Hawes N, Street C, Lacerda B & Mühlig M},
booktitle={Autonomous Agents and Multiagent Systems},
year = "2020"
}
Long-run multi-robot planning with uncertain task durations
Azevedo C, Lacerda B, Hawes N & Lima P (2020), AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent SystemsMay 2020, 1750-1752
BibTeX
@inproceedings{longrunmultirob-2020/5,
title={Long-run multi-robot planning with uncertain task durations},
author={Azevedo C, Lacerda B, Hawes N & Lima P},
booktitle={International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) 2020},
pages={1750-1752},
year = "2020"
}
Convex Hull Monte-Carlo tree search
Painter M, Lacerda B & Hawes N (2020), Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 30, 217-225
BibTeX
@inproceedings{convexhullmonte-2020/5,
title={Convex Hull Monte-Carlo tree search},
author={Painter M, Lacerda B & Hawes N},
booktitle={30th International Conference on Automated Planning and Scheduling},
pages={217-225},
year = "2020"
}
Variational inference for predictive and reactive controllers
Baioumy M, Mattamala M & Hawes N (2020)
BibTeX
@inproceedings{variationalinfe-2020/5,
title={Variational inference for predictive and reactive controllers},
author={Baioumy M, Mattamala M & Hawes N},
booktitle={BRAIN-PIL workshop on New advances in Brain-inspired Perception, Interaction and Learning at IEEE International Conference on Robotics and Automation (ICRA 2020)},
year = "2020"
}
Adaptive Manipulator Control using Active Inference with Precision Learning
Baioumy M, Mattamala M, Duckworth P, Lacerda B & Hawes N (2020), 105-107
BibTeX
@inproceedings{adaptivemanipul-2020/5,
title={Adaptive Manipulator Control using Active Inference with Precision Learning},
author={Baioumy M, Mattamala M, Duckworth P, Lacerda B & Hawes N},
booktitle={UKRAS20 Conference: “Robots into the real world” Proceedings},
pages={105-107},
year = "2020"
}
A framework for learning from demonstration with minimal human effort
Rigter M, Lacerda B & Hawes N (2020), IEEE Robotics and Automation Letters, 5(2), 2023-2030
BibTeX
@article{aframeworkforle-2020/1,
title={A framework for learning from demonstration with minimal human effort},
author={Rigter M, Lacerda B & Hawes N},
journal={IEEE Robotics and Automation Letters},
volume={5},
pages={2023-2030},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Special Issue on Reintegrating Artificial Intelligence and Robotics
Pecora F, Mansouri M, Hawes N & Kunze L (2019), KUNSTLICHE INTELLIGENZ, 33(4), 315-317
Robot path planning for multiple target regions
Ishida S, Rigter M & Hawes N (2019), 2019 European Conference on Mobile Robots, ECMR 2019 - Proceedings
Multi-robot planning under uncertain travel times and safety constraints
Mansouri M, Lacerda B, Hawes N & Pecora F (2019), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, (IJCAI-19), 478-484
Probabilistic planning with formal performance guarantees for mobile service robots
Lacerda B, Faruq F, Parker D & Hawes N (2019), International Journal of Robotics Research, 38(9), 1098-1123
BibTeX
@article{probabilisticpl-2019/6,
title={Probabilistic planning with formal performance guarantees for mobile service robots},
author={Lacerda B, Faruq F, Parker D & Hawes N},
journal={International Journal of Robotics Research},
volume={38},
pages={1098-1123},
publisher={SAGE Publications},
year = "2019"
}
Long-Term Autonomy in Everyday Environments: A Challenge for AI and Robotics
Hawes N (2019), Proceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019, 26-28
Simultaneous Task Allocation and Planning Under Uncertainty
Faruq F, Lacerda B, Hawes N & Parker D (2019), IROS 2018
BibTeX
@article{simultaneoustas-2019/1,
title={Simultaneous Task Allocation and Planning Under Uncertainty},
author={Faruq F, Lacerda B, Hawes N & Parker D},
journal={IROS 2018},
year = "2019"
}
Simultaneous task allocation and planning under uncertainty
Faruq F, Lacerda B, Hawes N & Parker D (2019), 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7(6), 3559-3564
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots
Tomy M, Lacerda B, Hawes N, Wyatt JL, Preucil L et al. (2019), 2019 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR)
BibTeX
@inproceedings{batterychargesc-2019/,
title={Battery Charge Scheduling in Long-Life Autonomous Mobile Robots},
author={Tomy M, Lacerda B, Hawes N, Wyatt JL, Preucil L et al.},
year = "2019"
}
SOMA: a framework for understanding change in everyday environments using Semantic Object Maps
Kunze L, Karaoguz H, Young J, Jovan F, Folkesson J et al. (2018), Proceedings of the AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy (LTA), 47-54
BibTeX
@inproceedings{somaaframeworkf-2018/11,
title={SOMA: a framework for understanding change in everyday environments using Semantic Object Maps},
author={Kunze L, Karaoguz H, Young J, Jovan F, Folkesson J et al.},
booktitle={AAAI Fall Symposium 2018, Virginia, USA, October 18–20, 2018},
pages={47-54},
year = "2018"
}