Bruno Lacerda
Bruno Lacerda
Oxford Robotics Institute - University of Oxford
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The strands project: Long-term autonomy in everyday environments
N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ...
IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017
Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications
B Lacerda, D Parker, N Hawes
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International …, 2014
Rambo-rl: Robust adversarial model-based offline reinforcement learning
M Rigter, B Lacerda, N Hawes
Advances in neural information processing systems 35, 16082-16097, 2022
Now or later? predicting and maximising success of navigation actions from long-term experience
J Pulido Fentanes, B Lacerda, T Krajnik, N Hawes, M Hanheide
ICRA, 2015
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications.
B Lacerda, D Parker, N Hawes
IJCAI 15, 1587-1593, 2015
Probabilistic planning with formal performance guarantees for mobile service robots
B Lacerda, F Faruq, D Parker, N Hawes
The International Journal of Robotics Research, 2019
Simultaneous task allocation and planning under uncertainty
F Faruq, D Parker, B Lacerda, N Hawes
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Petri net based multi-robot task coordination from temporal logic specifications
B Lacerda, PU Lima
Robotics and Autonomous Systems 122, 103289, 2019
Risk-averse bayes-adaptive reinforcement learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems 34, 1142-1154, 2021
A framework for learning from demonstration with minimal human effort
M Rigter, B Lacerda, N Hawes
IEEE Robotics and Automation Letters 5 (2), 2023-2030, 2020
Multi-objective policy generation for mobile robots under probabilistic time-bounded guarantees
B Lacerda, D Parker, NA Hawes
ICAPS, 2017
Risk-aware motion planning in partially known environments
FS Barbosa, B Lacerda, P Duckworth, J Tumova, N Hawes
IEEE CDC, 2021
Active inference for integrated state-estimation, control, and learning
M Baioumy, P Duckworth, B Lacerda, N Hawes
2021 IEEE International Conference on Robotics and Automation (ICRA), 4665-4671, 2021
Markov decision processes with unknown state feature values for safe exploration using gaussian processes
M Budd, B Lacerda, P Duckworth, A West, B Lennox, N Hawes
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints
M Mansouri, B Lacerda, N Hawes, F Pecora
The 28th International Joint Conference on Artificial Intelligence, 2019
Designing Petri net supervisors from LTL specifications
B Lacerda, PU Lima
Robotics: Science and Systems VII, 2011
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty
M Tomy, B Lacerda, N Hawes, JL Wyatt
Robotics and Autonomous Systems 133, 103629, 2020
Multi-robot planning under uncertainty with congestion-aware models
C Street, B Lacerda, M Mühlig, N Hawes
Proceedings of AAMAS 2020, 2020
Congestion-Aware Policy Synthesis for Multirobot Systems
C Street, S Pütz, M Mühlig, N Hawes, B Lacerda
IEEE Transactions on Robotics, 2022
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes
P Duckworth, B Lacerda, N Hawes
Conference on Robot Learning (CoRL), 2020
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