| 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 | 263 | 2017 |
| 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 | 119 | 2022 |
| 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 | 105 | 2014 |
| 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 | 94* | 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 | 76 | 2019 |
| Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. B Lacerda, D Parker, N Hawes IJCAI 15, 1587-1593, 2015 | 75 | 2015 |
| 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 | 69 | 2018 |
| Petri net based multi-robot task coordination from temporal logic specifications B Lacerda, PU Lima Robotics and Autonomous Systems 122, 103289, 2019 | 51 | 2019 |
| Risk-averse bayes-adaptive reinforcement learning M Rigter, B Lacerda, N Hawes Advances in Neural Information Processing Systems 34, 1142-1154, 2021 | 45 | 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 | 36 | 2020 |
| 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 | 34 | 2021 |
| Risk-aware motion planning in partially known environments FS Barbosa, B Lacerda, P Duckworth, J Tumova, N Hawes IEEE CDC, 2021 | 30 | 2021 |
| Multi-objective policy generation for mobile robots under probabilistic time-bounded guarantees B Lacerda, D Parker, NA Hawes ICAPS, 2017 | 29 | 2017 |
| 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 | 27 | 2020 |
| Jaxmarl: Multi-agent rl environments in jax A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... arXiv preprint arXiv:2311.10090, 2023 | 24 | 2023 |
| 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 | 24 | 2019 |
| 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 | 22 | 2020 |
| 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 | 21 | 2020 |
| Designing Petri net supervisors from LTL specifications B Lacerda, PU Lima Robotics: Science and Systems VII, 2011 | 21 | 2011 |
| Multi-robot planning under uncertainty with congestion-aware models C Street, B Lacerda, M Mühlig, N Hawes Proceedings of AAMAS 2020, 2020 | 20 | 2020 |
Nick HawesOxford Robotics Institute, University of OxfordEmail verificata su robots.ox.ac.uk
