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ORCIDBruno Lacerda
Person information
- affiliation: University of Oxford, Oxford Robotics Institute, UK
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2020 – today
- 2024
[j11]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): 18 (2024)- [j10]Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda:
Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Auton. Robots 48(8): 25 (2024) - [j9]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: 137-171 (2024) - [c44]Matthew Budd, Bruno Lacerda, Nick Hawes:
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI 2024: 20053-20060 - [c43]Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda:
Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS 2024: 400-408 - [c42]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: 2444-2446 - [c41]Alex Stephens, Bruno Lacerda, Nick Hawes:
Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. ECAI 2024: 1214-1221 - [i16]Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda:
Monte Carlo Tree Search with Boltzmann Exploration. CoRR abs/2404.07732 (2024) - [i15]Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster:
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. CoRR abs/2408.15099 (2024) - 2023
- [c40]Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI 2023: 11560-11568 - [c39]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Planning with Hidden Parameter Polynomial MDPs. AAAI 2023: 11963-11971 - [c38]Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS 2023: 113-121 - [c37]Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes:
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI 2023: 590-597 - [c36]Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes:
Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR 2023: 1-7 - [c35]Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß:
Variable Autonomy for Human-Robot Teaming (VAT). HRI (Companion) 2023: 932-934 - [c34]Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda:
Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS 2023 - [c33]Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS 2023 - [i14]Charlie Street, Masoumeh Mansouri, Bruno Lacerda:
Formal Modelling for Multi-Robot Systems Under Uncertainty. CoRR abs/2305.17018 (2023) - [i13]Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR abs/2306.09211 (2023) - [i12]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 abs/2311.10090 (2023) - 2022
- [j8]Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes:
Decision-making under uncertainty for multi-robot systems. AI Commun. 35(4): 433-441 (2022) - [j7]Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda:
Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics 38(1): 262-280 (2022) - [c32]Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS 2022: 307-315 - [c31]Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS 2022: 472-480 - [c30]Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes:
Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS 2022: 1228-1236 - [c29]Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL 2022: 1189-1198 - [c28]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Shared Autonomy Systems with Stochastic Operator Models. IJCAI 2022: 4614-4620 - [c27]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: 12051-12057 - [c26]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS 2022 - [i11]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR abs/2204.12581 (2022) - [i10]Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR abs/2212.00124 (2022) - 2021
- [c25]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI 2021: 11930-11938 - [c24]Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. CDC 2021: 5220-5226 - [c23]Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR 2021: 1-6 - [c22]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA 2021: 4665-4671 - [c21]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS 2021: 1142-1154 - [c20]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: 819-829 - [i9]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR abs/2102.05762 (2021) - [i8]Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR abs/2109.05866 (2021) - [i7]Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. CoRR abs/2109.11287 (2021) - [i6]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 abs/2110.12746 (2021) - 2020
- [j6]Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5(2): 2023-2030 (2020) - [j5]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: 103629 (2020) - [c19]Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree-Search. ICAPS 2020: 217-225 - [c18]Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes:
Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS 2020: 1314-1322 - [c17]Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima:
Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS 2020: 1750-1752 - [c16]Paul Duckworth, Bruno Lacerda, Nick Hawes:
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL 2020: 1654-1668 - [c15]Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima:
Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS 2020: 4323-4328 - [c14]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: 7344-7350 - [i5]Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree Search. CoRR abs/2003.04445 (2020) - [i4]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR abs/2005.05894 (2020) - [i3]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR abs/2012.04626 (2020)
2010 – 2019
- 2019
- [j4]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) - [j3]Bruno Lacerda, Pedro U. Lima:
Petri net based multi-robot task coordination from temporal logic specifications. Robotics Auton. Syst. 122 (2019) - [c13]Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt:
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR 2019: 1-6 - [c12]Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora:
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI 2019: 478-484 - 2018
- [c11]Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes:
Simultaneous Task Allocation and Planning Under Uncertainty. IROS 2018: 3559-3564 - [i2]Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker:
Simultaneous Task Allocation and Planning Under Uncertainty. CoRR abs/1803.02906 (2018) - 2017
- [j2]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): 146-156 (2017) - [c10]Bruno Lacerda, David Parker, Nick Hawes:
Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS 2017: 504-512 - 2016
- [c9]Lenka Mudrová, Bruno Lacerda, Nick Hawes:
Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI 2016: 1537-1545 - [i1]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 abs/1604.04384 (2016) - 2015
- [c8]Bruno Lacerda, David Parker, Nick Hawes:
Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). AAAI Fall Symposia 2015: 54-55 - [c7]Lenka Mudrová, Bruno Lacerda, Nick Hawes:
An integrated control framework for long-term autonomy in mobile service robots. ECMR 2015: 1-6 - [c6]Jaime Pulido Fentanes, Bruno Lacerda, Tomás Krajník, Nick Hawes, Marc Hanheide:
Now or later? Predicting and maximising success of navigation actions from long-term experience. ICRA 2015: 1112-1117 - [c5]Bruno Lacerda, David Parker, Nick Hawes:
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. IJCAI 2015: 1587-1593 - 2014
- [j1]Bruno Lacerda, Pedro U. Lima:
On the Notion of Uncontrollable Marking in Supervisory Control of Petri Nets. IEEE Trans. Autom. Control. 59(11): 3069-3074 (2014) - [c4]Bruno Lacerda, David Parker, Nick Hawes:
Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. IROS 2014: 1511-1516 - 2011
- [c3]Bruno Lacerda, Pedro U. Lima:
Designing petri net supervisors for multi-agent systems from LTL specifications. AAMAS 2011: 1253-1254 - [c2]Bruno Lacerda, Pedro U. Lima:
LTL-based decentralized supervisory control of multi-robot tasks modelled as Petri nets. IROS 2011: 3081-3086 - [c1]Bruno Lacerda, Pedro U. Lima:
Designing Petri Net Supervisors from LTL Specifications. Robotics: Science and Systems 2011
Coauthor Index
[j11] [j10] [j9] [c44] [c43] [c42] [c41] [i16] [i15] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [i13] [i12] [j8] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i11] [i10] [c25] [c24] [c23] [c22] [c21] [c20] [i9] [i8] [i7] [i6] [j6] [j5] [c19] [c18] [c17] [c16] [c15] [c14] [i5] [i4] [i3] [j4] [c13] [c12] [c11] [i2] [j2] [c10] [c9] [i1] [c8] [c7] [c6] [c5] [c4]
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