Matthew Crosby
Matthew Crosby
Imperial College London
Verified email at - Homepage
Cited by
Cited by
SkiROS—a skill-based robot control platform on top of ROS
F Rovida, M Crosby, D Holz, AS Polydoros, B Großmann, RPA Petrick, ...
Robot Operating System (ROS) The Complete Reference (Volume 2), 121-160, 2017
The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge
H Shevlin, K Vold, M Crosby, M Halina
EMBO reports 20 (10), e49177, 2019
Automated agent decomposition for classical planning
M Crosby, M Rovatsos, R Petrick
Proceedings of the International Conference on Automated Planning and …, 2013
Introduction to the JAGI special issue ‘On defining artificial intelligence’–commentaries and author’s response
D Monett, CW Lewis, KR Thórisson, J Bach, G Baldassarre, G Granato, ...
Journal of Artificial General Intelligence 11 (2), 1-100, 2020
A single-agent approach to multiagent planning
M Crosby, A Jonsson, M Rovatsos
ECAI 2014, 237-242, 2014
The Animal-AI Olympics
M Crosby, B Beyret, M Halina
Nature Machine Intelligence 1 (5), 257, 2019
A vertical and cyber–physical integration of cognitive robots in manufacturing
V Krueger, A Chazoule, M Crosby, A Lasnier, MR Pedersen, F Rovida, ...
Proceedings of the IEEE 104 (5), 1114-1127, 2016
The societal implications of deep reinforcement learning
J Whittlestone, K Arulkumaran, M Crosby
Journal of Artificial Intelligence Research 70, 1003–1030-1003–1030, 2021
Mapping intelligence: Requirements and possibilities
S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ...
Philosophy and theory of artificial intelligence 2017, 117-135, 2018
Artificial intelligence and the common sense of animals
M Shanahan, M Crosby, B Beyret, L Cheke
Trends in Cognitive Sciences 24 (11), 862-872, 2020
Testing the vertical and cyber-physical integration of cognitive robots in manufacturing
V Krueger, F Rovida, B Grossmann, R Petrick, M Crosby, A Charzoule, ...
Robotics and Computer-Integrated Manufacturing 57, 213-219, 2019
The animal-AI testbed and competition
M Crosby, B Beyret, M Shanahan, J Hernández-Orallo, L Cheke, M Halina
Neurips 2019 competition and demonstration track, 164-176, 2020
Building thinking machines by solving animal cognition tasks
M Crosby
Minds and Machines 30 (4), 589-615, 2020
The animal-ai environment: Training and testing animal-like artificial cognition
B Beyret, J Hernández-Orallo, L Cheke, M Halina, M Shanahan, M Crosby
arXiv preprint arXiv:1909.07483, 2019
Integrating Mission and Task Planning in an Industrial Robotics Framework
M Crosby, F Rovida, V Krüger, RPA Petrick
Proceedings of the 27th International Conference on Automated Planning and …, 2017
Temporal multiagent planning with concurrent action constraints
M Crosby, RPA Petrick
Proc 2nd ICAPS Workshop on Distributed and Multi-Agent Planning. ICAPS, 16-24, 2014
Detect, understand, act: A neuro-symbolic hierarchical reinforcement learning framework
L Mitchener, D Tuckey, M Crosby, A Russo
Machine Learning 111 (4), 1523-1549, 2022
Heuristic multiagent planning with self-interested agents
M Crosby, M Rovatsos
The 10th International Conference on Autonomous Agents and Multiagent …, 2011
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
AM Proca, FE Rosas, AI Luppi, D Bor, M Crosby, PAM Mediano
PLOS Computational Biology 20 (6), e1012178, 2024
Ó hÉigeartaigh
S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ...
S., Martínez-Plumed, F., Price, H., Shevlin, H., Weller, A., Winfield, A …, 2018
The system can't perform the operation now. Try again later.
Articles 1–20