| AR-drone as a platform for robotic research and education T Krajník, V Vonásek, D Fišer, J Faigl Research and Education in Robotics-EUROBOT 2011: International Conference …, 2011 | 445 | 2011 |
| Growing neural gas efficiently D Fišer, J Faigl, M Kulich Neurocomputing, 2012 | 58 | 2012 |
| Polynomial-time in PDDL input size: Making the delete relaxation feasible for lifted planning P Lauer, A Torralba, D Fišer, D Höller, J Wichlacz, J Hoffmann Thirtieth International Joint Conference on Artificial Intelligence (IJCAI …, 2021 | 41 | 2021 |
| Lifted fact-alternating mutex groups and pruned grounding of classical planning problems D Fišer Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9835-9842, 2020 | 35 | 2020 |
| Admissible landmark heuristic for multi-agent planning M Štolba, D Fišer, A Komenda Proceedings of the International Conference on Automated Planning and …, 2015 | 23 | 2015 |
| Operator mutexes and symmetries for simplifying planning tasks D Fišer, A Torralba, A Shleyfman Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7586-7593, 2019 | 21 | 2019 |
| MAPlan D Fišer, M Štolba, A Komenda Competition of Distributed and Multi-Agent Planners (CoDMAP-15), 8-10, 2015 | 21 | 2015 |
| The 2023 international planning competition A Taitler, R Alford, J Espasa, G Behnke, D Fišer, M Gimelfarb, ... AI Magazine 45 (2), 280-296, 2024 | 19 | 2024 |
| Fact-alternating mutex groups for classical planning D Fišer, A Komenda Journal of Artificial Intelligence Research 61, 475-521, 2018 | 19 | 2018 |
| Potential heuristics for multi-agent planning M Štolba, D Fišer, A Komenda Proceedings of the International Conference on Automated Planning and …, 2016 | 18 | 2016 |
| Strengthening potential heuristics with mutexes and disambiguations D Fišer, R Horčík, A Komenda Proceedings of the International Conference on Automated Planning and …, 2020 | 15 | 2020 |
| On the reversibility of actions in planning M Morak, L Chrpa, W Faber, D Fišer Proceedings of the International Conference on Principles of Knowledge …, 2020 | 14 | 2020 |
| AutoPlanBench: Automatically generating benchmarks for LLM planners from PDDL K Stein, D Fišer, J Hoffmann, A Koller arXiv preprint arXiv:2311.09830, 2023 | 13 | 2023 |
| Debugging a policy: Automatic action-policy testing in AI planning M Steinmetz, D Fišer, HF Eniser, P Ferber, TP Gros, P Heim, D Höller, ... Proceedings of the International Conference on Automated Planning and …, 2022 | 10 | 2022 |
| Endomorphisms of lifted planning problems R Horčík, D Fišer Proceedings of the International Conference on Automated Planning and …, 2021 | 10 | 2021 |
| A Light-Weight Robot Simulator for Modular Robotics⋆ V Vonásek, D Fišer, K Koˇsnar, L Pˇreucil Modelling and Simulation for Autonomous Systems: First International …, 2014 | 9 | 2014 |
| Homomorphisms of lifted planning tasks: The case for delete-free relaxation heuristics R Horčík, D Fišer, A Torralba Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9767-9775, 2022 | 8 | 2022 |
| Techniques for modeling simulation environments for modular robotics V Vonásek, M Kulich, T Krajník, M Saska, D Fišer, V Petrík, L Přeučil IFAC Proceedings Volumes 45 (2), 210-215, 2012 | 8 | 2012 |
| Operator-potential heuristics for symbolic search D Fišer, A Torralba, J Hoffmann Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9750-9757, 2022 | 7 | 2022 |
| Endomorphisms of classical planning tasks R Horčík, D Fišer Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11835 …, 2021 | 6 | 2021 |
Joerg HoffmannProfessor, Saarland Informatics Campus, Saarland University and German Research Center for AI (DFKI)Zweryfikowany adres z cs.uni-saarland.de
