Articoli con mandati relativi all'accesso pubblico - Martim BrandãoUlteriori informazioni
Non disponibili pubblicamente: 2
Placing and scheduling many depth sensors for wide coverage and efficient mapping in versatile legged robots
M Brandao, R Figueiredo, K Takagi, A Bernardino, K Hashimoto, ...
The International Journal of Robotics Research 39 (4), 431-460, 2020
Mandati: Fundação para a Ciência e a Tecnologia, Portugal, UK Engineering and …
On stereo confidence measures for global methods: evaluation, new model and integration into occupancy grids
M Brandao, R Ferreira, K Hashimoto, A Takanishi, J Santos-Victor
IEEE transactions on pattern analysis and machine intelligence 38 (1), 116-128, 2015
Mandati: European Commission
Disponibili pubblicamente: 21
Fair navigation planning: a resource for characterizing and designing fairness in mobile robots
M Brandão, M Jirotka, H Webb, P Luff
Artificial Intelligence, 103259, 2020
Mandati: UK Engineering and Physical Sciences Research Council
Footstep planning for slippery and slanted terrain using human-inspired models
M Brandao, K Hashimoto, J Santos-Victor, A Takanishi
IEEE Transactions on Robotics 32 (4), 868-879, 2016
Mandati: Fundação para a Ciência e a Tecnologia, Portugal
Towards providing explanations for robot motion planning
M Brandao, G Canal, S Krivić, D Magazzeni
2021 IEEE International Conference on Robotics and Automation (ICRA), 3927-3933, 2021
Mandati: US Department of Defense, UK Engineering and Physical Sciences Research Council
Explaining path plan optimality: Fast explanation methods for navigation meshes using full and incremental inverse optimization
M Brandao, A Coles, D Magazzeni
Proceedings of the International Conference on Automated Planning and …, 2021
Mandati: US Department of Defense
How experts explain motion planner output: a preliminary user-study to inform the design of explainable planners
M Brandao, G Canal, S Krivić, P Luff, A Coles
2021 30th IEEE International Conference on Robot & Human Interactive …, 2021
Mandati: US Department of Defense, UK Engineering and Physical Sciences Research …
GaitMesh: controller-aware navigation meshes for long-range legged locomotion planning in multi-layered environments
M Brandao, OB Aladag, I Havoutis
IEEE Robotics and Automation Letters 5 (2), 3596-3603, 2020
Mandati: UK Engineering and Physical Sciences Research Council, European Commission …
Multi-controller multi-objective locomotion planning for legged robots
M Brandao, M Fallon, I Havoutis
2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019
Mandati: UK Engineering and Physical Sciences Research Council, European Commission …
Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements.
M Brandao, M Mansouri, A Mohammed, P Luff, AJ Coles
AAMAS, 172-180, 2022
Mandati: US Department of Defense, UK Engineering and Physical Sciences Research …
Evaluating plan-property dependencies: a web-based platform and user study
R Eifler, M Brandao, A Coles, J Frank, J Hoffmann
Proceedings of the International Conference on Automated Planning and …, 2022
Mandati: US Department of Defense, German Research Foundation
Legged robots for autonomous inspection and monitoring of offshore assets
M Ramezani, M Brandao, B Casseau, I Havoutis, M Fallon
Offshore Technology Conference, D011S006R005, 2020
Mandati: European Commission, UK Research & Innovation, Royal Society UK
Plan-property dependencies are useful: A user study
R Eifler, M Brandao, A Coles, J Frank, J Hoffmann
The International Workshop of Explainable AI Planning (XAIP), 2021
Mandati: US National Aeronautics and Space Administration
Learning sequences of approximations for hierarchical motion planning
M Brandao, I Havoutis
Proceedings of the International Conference on Automated Planning and …, 2020
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Explaining plans at scale: scalable path planning explanations in navigation meshes using inverse optimization
M Brandao, D Magazzeni
IJCAI 2020 Workshop on Explainable Artificial Intelligence, 2020
Mandati: US Department of Defense
Merge and Shrink Abstractions for Temporal Planning
M Brandao, A Coles, A Coles, J Hoffmann
Proceedings of the International Conference on Automated Planning and …, 2022
Mandati: US Department of Defense, UK Engineering and Physical Sciences Research Council
Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs
R Pimentel de Figueiredo, J Le Fevre Sejersen, J Grimm Hansen, ...
Frontiers in Robotics and AI 9, 911974, 2022
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Effects of walking style and symmetry on the performance of localization algorithms for a biped humanoid robot
YM Shiguematsu, M Brandao, A Takanishi
2019 IEEE/SICE International Symposium on System Integration (SII), 307-312, 2019
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Characterizing physical adversarial attacks on robot motion planners
W Wu, F Pierazzi, Y Du, M Brandão
2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Trajectory optimization for high-power robots with motor temperature constraints
WX Tan, M Brandão, K Hashimoto, A Takanishi
Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018 …, 2018
Mandati: UK Engineering and Physical Sciences Research Council
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