Biography
Bruno is a Senior Researcher in Robotics at the Oxford Robotics Institute. His research interests are in investigating how formal methods can be used in robotics, in particular, how temporal logic can be used to specify and synthesise high-level controllers for robot systems, with formal performance guarantees. His research interests include:
- Sequential Decision Making
- Probabilistic Model Checking
- Multi-Robot Coordination
- Service Robotics
- Temporal Logics
- Petri Nets
- Supervisory Control
Bruno’s academic degrees were awarded by Instituto Superior Técnico. He has a BSc in Applied Mathematics and Computation (2007), an MSc in Mathematics and Applications (2007), and a PhD in Electrical and Computing Engineering (2013).
From April 2013 to September 2017, he was a Research Fellow in Intelligent Robotics at the Intelligent Robotics Lab of the University of Birmingham. He mainly worked within the STRANDS (Spatio-Temporal Representations and Activities for Cognitive Control in Long-Term Scenarios) project where he developed control approaches that both handle the inherent uncertainties of human populated environments, and take advantage of the spatio-temporal data obtained from the long term deployment of robot systems to improve their performance.
Visit Bruno’s personal page or Google Scholar profile.
Recent Publications
Multi-unit auctions for allocating chance-constrained resources
Gautier AL, Lacerda B, Hawes N & Wooldridge M (2023), 37(10), 11560-11568
BibTeX
@inproceedings{multiunitauctio-2023/6,
title={Multi-unit auctions for allocating chance-constrained resources},
author={Gautier AL, Lacerda B, Hawes N & Wooldridge M},
booktitle={37th AAAI Conference on Artificial Intelligence (AAAI 2023)},
pages={11560-11568},
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
BibTeX
@inproceedings{sharedautonomys-2022/7,
title={Shared autonomy systems with stochastic operator models},
author={Costen C, Rigter M, Lacerda B & Hawes N},
booktitle={31st International Joint Conferences on Artificial Intelligence Organization (IJCAI 2022)},
pages={4614-4620},
year = "2022"
}
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"
}
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
BibTeX
@inproceedings{riskawaremotion-2022/2,
title={Risk-aware motion planning in partially known environments},
author={Hawes N, Barbosa FS, Lacerda B, Duckworth P & Tumova J},
booktitle={60th IEEE Conference on Decision and Control (CDC 2021)},
pages={5220-5226},
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 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"
}
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
BibTeX
@article{decisionmakingu-2022/,
title={Decision-making under uncertainty for multi-robot systems},
author={Lacerda B, Gautier A, Rutherford A, Stephens A, Street C et al.},
journal={AI COMMUNICATIONS},
volume={35},
pages={433-441},
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"
}
