Alejandro Agostini
Cited by
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Object–action complexes: Grounded abstractions of sensory–motor processes
N Krüger, C Geib, J Piater, R Petrick, M Steedman, F Wörgötter, A Ude, ...
Robotics and Autonomous Systems 59 (10), 740-757, 2011
Large scale palm tree detection in high resolution satellite images using U-Net
M Freudenberg, N Nölke, A Agostini, K Urban, F Wörgötter, C Kleinn
Remote Sensing 11 (3), 312, 2019
Cognitive agents—a procedural perspective relying on the predictability of Object-Action-Complexes (OACs)
F Wörgötter, A Agostini, N Krüger, N Shylo, B Porr
Robotics and Autonomous Systems 57 (4), 420-432, 2009
Efficient interactive decision-making framework for robotic applications
A Agostini, C Torras, F Wörgötter
Artificial Intelligence 247, 187-212, 2017
Integrating task planning and interactive learning for robots to work in human environments
AG Agostini, C Torras, F Wörgötter
22nd International Joint Conference on Artificial Intelligence, 2386-2391, 2011
Reinforcement learning with a Gaussian mixture model
A Agostini, E Celaya
The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010
A formal definition of object-action complexes and examples at different levels of the processing hierarchy
N Krüger, J Piater, F Wörgötter, C Geib, R Petrick, M Steedman, A Ude, ...
PACO-PLUS Technical Report, available fro m http://www. paco-plus. org, 2009
A cognitive architecture for automatic gardening
A Agostini, G Alenya, A Fischbach, H Scharr, F Woergoetter, C Torras
Computers and Electronics in Agriculture 138, 69-79, 2017
Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks
A Agostini, MJ Aein, S Szedmak, EE Aksoy, J Piater, F Wörgötter
IEEE/RSJ Int. Conf. Intell. Robots Syst.(IROS), Hamburg, Germany, 2015
Exploiting domain symmetries in reinforcement learning with continuous state and action spaces
A Agostini, E Celaya
2009 International Conference on Machine Learning and Applications, 331-336, 2009
Manipulation planning using object-centered predicates and hierarchical decomposition of contextual actions
A Agostini, M Saveriano, D Lee, J Piater
IEEE Robotics and Automation Letters 5 (4), 5629-5636, 2020
Distributional semantics of objects in visual scenes in comparison to text
T Lüddecke, A Agostini, M Fauth, M Tamosiunaite, F Wörgötter
Artificial Intelligence 274, 44-65, 2019
Action rule induction from cause-effect pairs learned through robot-teacher interaction
AG Agostini, E Celaya Llover, C Torras, F Wörgötter
International Conference on Cognitive Systems (CogSys), 2008
Simultaneously Learning at Different Levels of Abstraction
B Quack, F Wörgötter, A Agostini
IEEE/RSJ Int. Conf. Intell. Robots Syst.(IROS), Hamburg, Germany, 2015
A formal definition of object-action complexes and examples at different levels of the processing hierarchy
N Kruger, J Piater, F Worgotter, C Geib, R Petrick, M Steedman, T Asfour, ...
Computer and Information Science, 1-39, 2009
Online EM with Weight-Based Forgetting
E Celaya, A Agostini
Neural computation 27 (5), 1142-1157, 2015
Efficient state abstraction using object-centered predicates for manipulation planning
A Agostini, D Lee
arXiv preprint arXiv:2007.08251, 2020
Affordance estimation for vision-based object replacement on a humanoid robot
W Mustafa, M Waechter, S Szedmak, A Agostini
Proceedings of ISR 2016: 47st International Symposium on Robotics, 1-9, 2016
On-line learning of macro planning operators using probabilistic estimations of cause-effects
AG Agostini, F Wörgötter, E Celaya Llover, C Torras
Technical report, IRI-TR 05/2008., 2008
Learning weakly correlated cause–effects for gardening with a cognitive system
A Agostini, C Torras, F Wörgötter
Engineering Applications of Artificial Intelligence 36, 178-194, 2014
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