Showing 50 publications by Bruno Lacerda
Time-bounded planning with uncertain task duration distributions
Staniaszek M, Brudermüller L, You Y, Bhattacharyya R, Lacerda B et al. (2025), Robotics and Autonomous Systems, 186
BibTeX
@article{timeboundedplan-2025/1,
title={Time-bounded planning with uncertain task duration distributions},
author={Staniaszek M, Brudermüller L, You Y, Bhattacharyya R, Lacerda B et al.},
journal={Robotics and Autonomous Systems},
volume={186},
number={104926},
publisher={Elsevier},
year = "2025"
}
Hierarchical planning for resource-constrained long-term monitoring missions in time-varying environments
Stephens R, Lacerda B & Hawes N (2024), ECAI 2024, 1214-1221
BibTeX
@inproceedings{hierarchicalpla-2024/10,
title={Hierarchical planning for resource-constrained long-term monitoring missions in time-varying environments},
author={Stephens R, Lacerda B & Hawes N},
booktitle={27th European Conference on Artificial Intelligence (ECAI 2024)},
pages={1214-1221},
year = "2024"
}
Planning under uncertainty for safe robot exploration using Gaussian process prediction
Stephens A, Budd M, Staniaszek M, Casseau B, Duckworth P et al. (2024), Autonomous Robots, 48(7)
BibTeX
@article{planningunderun-2024/8,
title={Planning under uncertainty for safe robot exploration using Gaussian process prediction},
author={Stephens A, Budd M, Staniaszek M, Casseau B, Duckworth P et al.},
journal={Autonomous Robots},
volume={48},
number={18},
publisher={Springer},
year = "2024"
}
Multi-robot allocation of assistance from a shared uncertain operator
Costen C, Gautier A, Hawes N & Lacerda B (2024), Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), 400-408
BibTeX
@inproceedings{multirobotalloc-2024/5,
title={Multi-robot allocation of assistance from a shared uncertain operator},
author={Costen C, Gautier A, Hawes N & Lacerda B},
booktitle={23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)},
pages={400-408},
year = "2024"
}
A framework for simultaneous task allocation and planning under uncertainty
Faruq F, Lacerda B, Hawes N & Parker D (2024), ACM Transactions on Autonomous and Adaptive Systems, 19(4)
BibTeX
@article{aframeworkforsi-2024/5,
title={A framework for simultaneous task allocation and planning under uncertainty},
author={Faruq F, Lacerda B, Hawes N & Parker D},
journal={ACM Transactions on Autonomous and Adaptive Systems},
volume={19},
number={21},
publisher={Association for Computing Machinery},
year = "2024"
}
One risk to rule them all: a risk-sensitive perspective on model-based offline reinforcement learning
Rigter M, Lacerda B & Hawes N (2024), Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
BibTeX
@inproceedings{onerisktoruleth-2024/2,
title={One risk to rule them all: a risk-sensitive perspective on model-based offline reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={37th Conference on Neural Information Processing Systems (NeurIPS 2023)},
year = "2024"
}
Right place, right time: proactive multi-robot task allocation under spatiotemporal uncertainty
Street C, Lacerda B, Mühlig M & Hawes N (2024), Journal of Artificial Intelligence Research, 79, 137-171
BibTeX
@article{rightplaceright-2024/1,
title={Right place, right time: proactive multi-robot task allocation under spatiotemporal uncertainty},
author={Street C, Lacerda B, Mühlig M & Hawes N},
journal={Journal of Artificial Intelligence Research},
volume={79},
pages={137-171},
publisher={AI Access Foundation},
year = "2024"
}
Editorial: Variable autonomy for human-robot teaming.
Theodorou A, Chiou M, Lacerda B & Rothfuß S (2024), Frontiers in robotics and AI, 11, 1465183
A Marine Autonomous Systems Digital Twin; Bringing Value to Researchers, Data Users and Vehicle Operations
Buck JJH, Lopex AL, Hawes N, Allsup B, Dobra T et al. (2024), 00, 1-4
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Rutherford A, Ellis B, Gallici M, Cook J, Lupu A et al. (2024), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2024-May, 2444-2446
BibTeX
@inproceedings{jaxmarlmultiage-2024/1,
title={JaxMARL: Multi-Agent RL Environments and Algorithms in JAX},
author={Rutherford A, Ellis B, Gallici M, Cook J, Lupu A et al.},
pages={2444-2446},
year = "2024"
}
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Rutherford A, Ellis B, Gallici M, Cook J, Lupu A et al. (2023)
Reinforcement learning for bandits with continuous actions and large context spaces
Duckworth P, Vallis KA, Lacerda B & Hawes N (2023), ECAI 2023, 590-597
BibTeX
@inproceedings{reinforcementle-2023/9,
title={Reinforcement learning for bandits with continuous actions and large context spaces},
author={Duckworth P, Vallis KA, Lacerda B & Hawes N},
booktitle={26th European Conference on Artificial Intelligence (ECAI 2023)},
pages={590-597},
year = "2023"
}
Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions
Staniaszek M, Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N (2023), 2023 European Conference on Mobile Robots (ECMR), 1-7
BibTeX
@inproceedings{difficultyaware-2023/9,
title={Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions},
author={Staniaszek M, Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N},
booktitle={11th European Conference on Mobile Robots (ECMR 2023)},
pages={1-7},
year = "2023"
}
Formal modelling for multi-robot systems under uncertainty
Street C, Mansouri M & Lacerda B (2023), Current Robotics Reports, 4(3), 55-64
VP-STO: via-point-based stochastic trajectory optimization for reactive robot behavior
Jankowski J, Brudermüller L, Hawes N & Calinon S (2023), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2023), 10125-10131
BibTeX
@inproceedings{vpstoviapointba-2023/7,
title={VP-STO: via-point-based stochastic trajectory optimization for reactive robot behavior},
author={Jankowski J, Brudermüller L, Hawes N & Calinon S},
booktitle={IEEE International Conference on Robotics and Automation (ICRA 2023)},
pages={10125-10131},
year = "2023"
}
Multi-unit auctions for allocating chance-constrained resources
Gautier AL, Lacerda B, Hawes N & Wooldridge M (2023), 37(10), 11560-11568
Planning with hidden parameter polynomial MDPs
Costen C, Rigter M, Lacerda B & Hawes N (2023), Proceedings of the AAAI Conference on Artificial Intelligence, 37(10), 11963-11971
Risk-constrained planning for multi-agent systems with shared resources
Gautier AL, Rigter M, Lacerda B, Hawes N & Wooldridge M (2023), Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), 113-121
BibTeX
@inproceedings{riskconstrained-2023/5,
title={Risk-constrained planning for multi-agent systems with shared resources},
author={Gautier AL, Rigter M, Lacerda B, Hawes N & Wooldridge M},
booktitle={22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)},
pages={113-121},
year = "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), 21, 16082-16097
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)},
pages={16082-16097},
year = "2023"
}
Monte Carlo tree search with Boltzmann exploration
Painter M, Baioumy M, Hawes N & Lacerda B (2023), Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36
BibTeX
@inproceedings{montecarlotrees-2023/2,
title={Monte Carlo tree search with Boltzmann exploration},
author={Painter M, Baioumy M, Hawes N & Lacerda B},
booktitle={37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)},
year = "2023"
}
Probabilistic planning for AUV data harvesting from smart underwater sensor networks
Budd M, Salavasidis G, Karnarudzaman I, Harris C, Phillips A et al. (2022), Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) , 2022-October, 12051-12057
BibTeX
@inproceedings{probabilisticpl-2022/12,
title={Probabilistic planning for AUV data harvesting from smart underwater sensor networks},
author={Budd M, Salavasidis G, Karnarudzaman I, Harris C, Phillips A et al.},
booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) },
pages={12051-12057},
year = "2022"
}
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"
}
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
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
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 of the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022) , 32(1), 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"
}
Negotiated path planning for non-cooperative multi-robot systems
Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M (2022), Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), 1, 472-480
BibTeX
@inproceedings{negotiatedpathp-2022/5,
title={Negotiated path planning for non-cooperative multi-robot systems},
author={Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M},
booktitle={21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)},
pages={472-480},
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
On solving a Stochastic Shortest-Path Markov Decision Process as probabilistic inference
Baioumy M, Lacerda B, Duckworth P & Hawes N (2022), 1524, 819-829
BibTeX
@inproceedings{onsolvingastoch-2022/2,
title={On solving a Stochastic Shortest-Path Markov Decision Process as probabilistic inference},
author={Baioumy M, Lacerda B, Duckworth P & Hawes N},
booktitle={Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)},
pages={819-829},
year = "2022"
}
Risk-averse Bayes-adaptive reinforcement learning
Rigter M, Lacerda B & Hawes N (2021), Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34, 1142-1154
BibTeX
@inproceedings{riskaversebayes-2021/12,
title={Risk-averse Bayes-adaptive reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={35th Conference on Neural Information Processing Systems (NeurIPS 2021)},
pages={1142-1154},
year = "2021"
}
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"
}
Active inference for integrated state-estimation, control, and learning
Baioumy M, Duckworth P, Lacerda B & Hawes N (2021), Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), 4665-4671
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, 38(1), 262-280
BibTeX
@article{congestionaware-2021/7,
title={Congestion-aware policy synthesis for multirobot systems},
author={Street C, Puetz S, Muehlig M, Hawes N & Lacerda B},
journal={IEEE Transactions on Robotics},
volume={38},
pages={262-280},
publisher={Institute of Electrical and Electronics Engineers},
year = "2021"
}
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"
}
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"
}
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes
Rutherford A, Duckworth P, Hawes N & Lacerda B (2021), 00, 1-6
BibTeX
@inproceedings{motionplanningi-2021/1,
title={Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes},
author={Rutherford A, Duckworth P, Hawes N & Lacerda B},
booktitle={2021 European Conference on Mobile Robots (ECMR)},
pages={1-6},
year = "2021"
}
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Rigter M, Lacerda B, Hawes N & Intelligence AAA (2021)
BibTeX
@misc{minimaxregretop-2021/1,
title={Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes},
author={Rigter M, Lacerda B, Hawes N & Intelligence AAA},
year = "2021"
}
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"
}
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"
}
Multi-robot planning under uncertainty with congestion-aware models
Street C, Lacerda B, Mühlig M & Hawes N (2020), Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2020), 1314-1322
BibTeX
@inproceedings{multirobotplann-2020/5,
title={Multi-robot planning under uncertainty with congestion-aware models},
author={Street C, Lacerda B, Mühlig M & Hawes N},
booktitle={19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2020)},
pages={1314-1322},
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"
}
Petri net based multi-robot task coordination from temporal logic specifications
Lacerda B & Lima PU (2019), Robotics and Autonomous Systems, 122, 103289
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