AR-Drone as a Platform for Robotic Research and Education. - Tomás Krajník; Vojtech Vonásek; Daniel Fiser; Jan Faigl (Eurobot Conference, 2011)

Growing neural gas efficiently. - Daniel Fiser; Jan Faigl; Miroslav Kulich (Neurocomputing, 2013)

A Light-Weight Robot Simulator for Modular Robotics. - Vojtech Vonásek; Daniel Fiser; Karel Kosnar; Libor Preucil (MESAS, 2014)

Admissible Landmark Heuristic for Multi-Agent Planning. - Michal Stolba; Daniel Fiser; Antonín Komenda (ICAPS, 2015)

Potential Heuristics for Multi-Agent Planning. - Michal Stolba; Daniel Fiser; Antonín Komenda (ICAPS, 2016)

Concise Finite-Domain Representations for Factored MA-PDDL Planning Tasks. - Daniel Fiser; Antonín Komenda (ICAART (2), 2018)

Fact-Alternating Mutex Groups for Classical Planning (Extended Abstract). - Daniel Fiser; Antonín Komenda (IJCAI, 2018)

Fact-Alternating Mutex Groups for Classical Planning. - Daniel Fiser; Antonín Komenda (J. Artif. Intell. Res., 2018)

Operator Mutexes and Symmetries for Simplifying Planning Tasks. - Daniel Fiser; Álvaro Torralba; Alexander Shleyfman (AAAI, 2019)

Privacy Leakage of Search-Based Multi-Agent Planning Algorithms. - Michal Stolba; Daniel Fiser; Antonín Komenda (ICAPS, 2019)

Cost Partitioning for Multi-agent Planning. - Michal Stolba; Michaela Urbanovská; Daniel Fiser; Antonín Komenda (ICAART (2), 2019)

A General Approach to Distributed and Privacy-Preserving Heuristic Computation. - Michal Stolba; Michaela Urbanovská; Daniel Fiser; Antonín Komenda (ICAART (Revised Selected Papers), 2019)

Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems. - Daniel Fiser (AAAI, 2020)

Strengthening Potential Heuristics with Mutexes and Disambiguations. - Daniel Fiser; Rostislav Horcík; Antonín Komenda (ICAPS, 2020)

Determining Action Reversibility in STRIPS Using Answer Set Programming. - Lukás Chrpa; Wolfgang Faber 001; Daniel Fiser; Michael Morak (ICLP Workshops, 2020)

On the Reversibility of Actions in Planning. - Michael Morak; Lukás Chrpa; Wolfgang Faber 001; Daniel Fiser (KR, 2020)

Endomorphisms of Classical Planning Tasks. - Rostislav Horcík; Daniel Fiser (AAAI, 2021)

Endomorphisms of Lifted Planning Problems. - Rostislav Horcík; Daniel Fiser (ICAPS, 2021)

Custom-Design of FDR Encodings: The Case of Red-Black Planning. - Daniel Fiser; Daniel Gnad 001; Michael Katz 001; Jörg Hoffmann 001 (IJCAI, 2021)

Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning. - Pascal Lauer; Álvaro Torralba; Daniel Fiser; Daniel Höller; Julia Wichlacz; Jörg Hoffmann 001 (IJCAI, 2021)

Operator-Potential Heuristics for Symbolic Search. - Daniel Fiser; Álvaro Torralba; Jörg Hoffmann 001 (AAAI, 2022)

Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics. - Rostislav Horcík; Daniel Fiser; Álvaro Torralba (AAAI, 2022)

Operator-Potentials in Symbolic Search: From Forward to Bi-directional Search. - Daniel Fiser; Álvaro Torralba; Jörg Hoffmann 001 (ICAPS, 2022)

Beyond Stars - Generalized Topologies for Decoupled Search. - Daniel Gnad 001; Álvaro Torralba; Daniel Fiser (ICAPS, 2022)

Debugging a Policy: Automatic Action-Policy Testing in AI Planning. - Marcel Steinmetz; Daniel Fiser; Hasan Ferit Eniser; Patrick Ferber; Timo P. Gros; Philippe Heim; Daniel Höller; Xandra Schuler; Valentin Wüstholz; Maria Christakis; Jörg Hoffmann 001 (ICAPS, 2022)

Operator Pruning Using Lifted Mutex Groups via Compilation on Lifted Level. - Daniel Fiser (ICAPS, 2023)

Gaifman Graphs in Lifted Planning. - Rostislav Horcík; Daniel Fiser (ECAI, 2023)

A Landmark-Cut Heuristic for Lifted Optimal Planning. - Julia Wichlacz; Daniel Höller; Daniel Fiser; Jörg Hoffmann 001 (ECAI, 2023)

Iterative Oversubscription Planning with Goal-Conflict Explanations: Scaling Up Through Policy-Guidance Approximation. - Rebecca Eifler; Daniel Fiser; Aleena Siji; Jörg Hoffmann 001 (ECAI, 2024)

New Fuzzing Biases for Action Policy Testing. - Jan Eisenhut; Xandra Schuler; Daniel Fiser; Daniel Höller; Maria Christakis; Jörg Hoffmann 001 (ICAPS, 2024)

Towards Feasible Higher-Dimensional Potential Heuristics. - Daniel Fiser; Marcel Steinmetz (ICAPS, 2024)

Boosting optimal symbolic planning: Operator-potential heuristics. - Daniel Fiser; Álvaro Torralba; Jörg Hoffmann 001 (Artif. Intell., 2024)

The 2023 International Planning Competition. - Ayal Taitler; Ron Alford; Joan Espasa; Gregor Behnke; Daniel Fiser; Michael Gimelfarb; Florian Pommerening; Scott Sanner; Enrico Scala; Dominik Schreiber 001; Javier Segovia-Aguas; Jendrik Seipp (AI Mag., 2024)

Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior. - Timo P. Gros; Nicola J. Müller; Daniel Fiser; Isabel Valera; Verena Wolf; Jörg Hoffmann 001 (CoRR, 2025)