| 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 | 221 | 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 | 126 | 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 | 100 | 2009 |
| Efficient interactive decision-making framework for robotic applications A Agostini, C Torras, F Wörgötter Artificial Intelligence 247, 187-212, 2017 | 51 | 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 | 46 | 2011 |
| Reinforcement learning with a Gaussian mixture model A Agostini, E Celaya The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 45 | 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 | 40 | 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 | 33 | 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 | 23 | 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 | 20 | 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 | 19 | 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 | 15 | 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 | 15 | 2008 |
| Long-Horizon Planning and Execution With Functional Object-Oriented Networks D Paulius, A Agostini, D Lee IEEE Robotics and Automation Letters 8 (8), 4513-4520, 2023 | 12* | 2023 |
| Simultaneously Learning at Different Levels of Abstraction B Quack, F Wörgötter, A Agostini IEEE/RSJ Int. Conf. Intell. Robots Syst.(IROS), Hamburg, Germany, 2015 | 12 | 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 | 12 | 2009 |
| Online EM with Weight-Based Forgetting E Celaya, A Agostini Neural computation 27 (5), 1142-1157, 2015 | 9 | 2015 |
| Inverse reinforcement learning for dexterous hand manipulation J Orbik, A Agostini, D Lee 2021 IEEE International Conference on Development and Learning (ICDL), 1-7, 2021 | 7 | 2021 |
| Efficient state abstraction using object-centered predicates for manipulation planning A Agostini, D Lee arXiv preprint arXiv:2007.08251, 2020 | 7 | 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 | 7 | 2016 |
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