Bruno Lacerda

Orcid: 0000-0003-0862-331X

Affiliations:
  • University of Oxford, Oxford Robotics Institute, UK


According to our database1, Bruno Lacerda authored at least 53 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty.
J. Artif. Intell. Res., 2024

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
JaxMARL: Multi-Agent RL Environments in JAX.
CoRR, 2023

Formal Modelling for Multi-Robot Systems Under Uncertainty.
CoRR, 2023

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Monte Carlo Tree Search with Boltzmann Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variable Autonomy for Human-Robot Teaming (VAT).
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions.
Proceedings of the European Conference on Mobile Robots, 2023

Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Risk-Constrained Planning for Multi-Agent Systems with Shared Resources.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Multi-Unit Auctions for Allocating Chance-Constrained Resources.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Planning with Hidden Parameter Polynomial MDPs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Congestion-Aware Policy Synthesis for Multirobot Systems.
IEEE Trans. Robotics, 2022

Decision-making under uncertainty for multi-robot systems.
AI Commun., 2022

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Shared Autonomy Systems with Stochastic Operator Models.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments.
Proceedings of the Conference on Robot Learning, 2022

Context-Aware Modelling for Multi-Robot Systems Under Uncertainty.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Negotiated Path Planning for Non-Cooperative Multi-Robot Systems.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Planning for Risk-Aversion and Expected Value in MDPs.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs.
CoRR, 2021

On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Risk-Averse Bayes-Adaptive Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Active Inference for Integrated State-Estimation, Control, and Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes.
Proceedings of the 10th European Conference on Mobile Robots, 2021

Risk-Aware Motion Planning in Partially Known Environments.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty.
Robotics Auton. Syst., 2020

A Framework for Learning From Demonstration With Minimal Human Effort.
IEEE Robotics Autom. Lett., 2020

Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes.
Proceedings of the 4th Conference on Robot Learning, 2020

Multi-Robot Planning Under Uncertainty with Congestion-Aware Models.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Long-Run Multi-Robot Planning With Uncertain Task Durations.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Convex Hull Monte-Carlo Tree-Search.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Petri net based multi-robot task coordination from temporal logic specifications.
Robotics Auton. Syst., 2019

Probabilistic planning with formal performance guarantees for mobile service robots.
Int. J. Robotics Res., 2019

Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Battery Charge Scheduling in Long-Life Autonomous Mobile Robots.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018
Simultaneous Task Allocation and Planning Under Uncertainty.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
The STRANDS Project: Long-Term Autonomy in Everyday Environments.
IEEE Robotics Autom. Mag., 2017

Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Partial Order Temporal Plan Merging for Mobile Robot Tasks.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Now or later? Predicting and maximising success of navigation actions from long-term experience.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

An integrated control framework for long-term autonomy in mobile service robots.
Proceedings of the 2015 European Conference on Mobile Robots, 2015

Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract).
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
On the Notion of Uncontrollable Marking in Supervisory Control of Petri Nets.
IEEE Trans. Autom. Control., 2014

Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2011
Designing Petri Net Supervisors from LTL Specifications.
Proceedings of the Robotics: Science and Systems VII, 2011

LTL-based decentralized supervisory control of multi-robot tasks modelled as Petri nets.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Designing petri net supervisors for multi-agent systems from LTL specifications.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011


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