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2020 – today
- 2021
[c129]Roman Barták, Jakub Mestek:
OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots. AAAI 2021: 15991-15993- 2020
- [j38]Dor Atzmon, Roni Stern, Ariel Felner, Glenn Wagner, Roman Barták, Neng-Fa Zhou:
Robust Multi-Agent Path Finding and Executing. J. Artif. Intell. Res. 67: 549-579 (2020) - [c128]Roman Barták, Jirí Svancara, Ivan Krasicenko:
MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots. AAAI 2020: 13602-13603 - [c127]Otakar Trunda, Roman Barták:
Deep Learning of Heuristics for Domain-independent Planning. ICAART (2) 2020: 79-88 - [c126]Vera Skopková, Roman Barták, Jirí Svancara:
What Does Multi-agent Path-finding Tell Us About Intelligent Intersections. ICAART (1) 2020: 250-257 - [c125]Marta Vomlelová, Jindrich Vodrázka, Roman Barták, Lukás Chrpa:
Automated Acquisition of Control Knowledge for Classical Planners. ICAART (2) 2020: 959-966 - [c124]Jindrich Vodrázka, Roman Barták, Jirí Svancara:
On Modelling Multi-Agent Path Finding as a Classical Planning Problem. ICTAI 2020: 23-28 - [c123]Roman Barták, Simona Ondrcková, Adrien Maillard, Gregor Behnke, Pascal Bercher:
A Novel Parsing-based Approach for Verification of Hierarchical Plans. ICTAI 2020: 118-125 - [c122]Jindrich Vodrázka, Roman Barták, Jirí Svancara:
On Modelling Multi-Agent Path Finding as a Classical Planning Problem. SOCS 2020: 141-142 - [e5]Roman Barták, Eric Bell:
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, Originally to be held in North Miami Beach, Florida, USA, May 17-20, 2020. AAAI Press 2020, ISBN 978-1-57735-821-3 [contents]
2010 – 2019
- 2019
- [j37]Roman Barták, Jirí Svancara, Vera Skopková, David Nohejl, Ivan Krasicenko:
Multi-agent path finding on real robots. AI Commun. 32(3): 175-189 (2019) - [j36]Roman Barták, Eric Bell, Keith Brawner, Vasile Rus:
Report on the Thirty-Second International Florida Artificial Intelligence Research Society Conference (FLAIRS-32). AI Mag. 40(4): 83-84 (2019) - [c121]Jirí Svancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták:
Online Multi-Agent Pathfinding. AAAI 2019: 7732-7739 - [c120]Roman Barták, Ivan Krasicenko, Jirí Svancara:
Multi-Agent Path Finding on Real Robots. AAMAS 2019: 2333-2335 - [c119]Roman Barták, Keith Brawner:
FLAIRS-32 Poster Abstracts. FLAIRS Conference 2019: 509- - [c118]Jirí Svancara, Roman Barták:
Combining Strengths of Optimal Multi-Agent Path Finding Algorithms. ICAART (1) 2019: 226-231 - [c117]Roman Barták, Ivan Krasicenko, Jirí Svancara:
Multi-Agent Path Finding on Ozobots. IJCAI 2019: 6491-6493 - [c116]Roman Barták, Jirí Svancara:
On SAT-Based Approaches for Multi-Agent Path Finding with the Sum-of-Costs Objective. SOCS 2019: 10-17 - [c115]Roni Stern, Nathan R. Sturtevant, Ariel Felner, Sven Koenig, Hang Ma, Thayne T. Walker, Jiaoyang Li, Dor Atzmon, Liron Cohen, T. K. Satish Kumar, Roman Barták, Eli Boyarski:
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks. SOCS 2019: 151-159 - [e4]Roman Barták, Keith W. Brawner:
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019. AAAI Press 2019 [contents] - [i9]Roni Stern, Nathan Sturtevant, Ariel Felner, Sven Koenig, Hang Ma, Thayne T. Walker, Jiaoyang Li, Dor Atzmon, Liron Cohen, T. K. Satish Kumar, Eli Boyarski, Roman Barták:
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks. CoRR abs/1906.08291 (2019) - 2018
- [j35]Keith Brawner, Vasile Rus, Roman Barták, Zdravko Markov:
Report on the Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31). AI Mag. 39(4): 23-24 (2018) - [c114]Roman Barták, Adrien Maillard, Rafael Cauê Cardoso:
Validation of Hierarchical Plans via Parsing of Attribute Grammars. AAAI Workshops 2018: 593-600 - [c113]Roman Barták, Adrien Maillard, Rafael Cauê Cardoso:
Validation of Hierarchical Plans via Parsing of Attribute Grammars. AAAI Spring Symposia 2018 - [c112]Roman Barták, Adrien Maillard, Rafael Cauê Cardoso:
Validation of Hierarchical Plans via Parsing of Attribute Grammars. ICAPS 2018: 11-19 - [c111]Roman Barták, Jiri Svancara, Marek Vlk:
A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs. AAMAS 2018: 748-756 - [c110]Dor Atzmon, Roni Stern, Ariel Felner, Glenn Wagner, Roman Barták, Neng-Fa Zhou:
Robust Multi-Agent Path Finding. AAMAS 2018: 1862-1864 - [c109]Roman Barták, David Obdrzálek:
Special Track on Autonomous Robots and Agents. FLAIRS Conference 2018: 329 - [c108]Roman Barták, Jirí Svancara, Vera Skopková, David Nohejl
:
Multi-agent Path Finding on Real Robots: First Experience with Ozobots. IBERAMIA 2018: 290-301 - [c107]Jirí Kucera, Roman Barták:
LOUGA: Learning Planning Operators Using Genetic Algorithms. PKAW 2018: 124-138 - [c106]Dor Atzmon, Roni Stern, Ariel Felner, Glenn Wagner, Roman Barták, Neng-Fa Zhou:
Robust Multi-Agent Path Finding. SOCS 2018: 2-9 - 2017
- [j34]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j33]Roman Barták, Lukás Chrpa, Agostino Dovier, Jindrich Vodrázka, Neng-Fa Zhou:
Modeling and solving planning problems in tabled logic programming: Experience from the Cave Diving domain. Sci. Comput. Program. 147: 54-77 (2017) - [j32]Roman Barták:
Constraint Solving and Planning with Picat by Neng-Fa Zhou , Håkan Kjellerstrand , and Jonathan Fruhman , xi + 148 pages, Springer, 2015. Paperback, ISBN 978-3-319-25881-2. Theory Pract. Log. Program. 17(1): 118-120 (2017) - [c105]Marek Vlk, Roman Barták, Zdenek Hanzálek:
Minimization of useless work in resource failure recovery of workflow schedules. ETFA 2017: 1-8 - [c104]Roman Barták, Marta Vomlelová:
Using Machine Learning to Identify Activities of a Flying Drone from Sensor Readings. FLAIRS Conference 2017: 436-441 - [c103]Neng-Fa Zhou, Roman Barták:
// Efficient Declarative Solutions in Picat for Optimal Multi-Agent Pathfinding. ICLP (Technical Communications) 2017: 11:1-11:2 - [c102]Roman Barták, Neng-Fa Zhou, Roni Stern, Eli Boyarski, Pavel Surynek:
Modeling and Solving the Multi-agent Pathfinding Problem in Picat. ICTAI 2017: 959-966 - [c101]Roman Barták, Adrien Maillard:
Attribute grammars with set attributes and global constraints as a unifying framework for planning domain models. PPDP 2017: 39-48 - [c100]Jan Skoda, Roman Barták:
3D Navigation for a Mobile Robot. ROBOT (2) 2017: 345-356 - [c99]Dor Atzmon, Ariel Felner, Roni Stern, Glenn Wagner, Roman Barták, Neng-Fa Zhou:
k-Robust Multi-Agent Path Finding. SOCS 2017: 157-158 - 2016
- [j31]Martin Cerný, Roman Barták, Cyril Brom, Jakub Gemrot:
To Plan or to Simply React? An Experimental Study of Action Planning in a Game Environment. Comput. Intell. 32(4): 668-710 (2016) - [j30]Roman Barták, Jindrich Vodrázka:
An Experimental Study of Influence of Modeling and Solving Techniques on Performance of a Tabled Logic Programming Planner. Fundam. Informaticae 149(1-2): 35-60 (2016) - [j29]Miguel A. Salido, Roman Barták:
Introduction to the special issue on constraint satisfaction for planning and scheduling. Knowl. Eng. Rev. 31(5): 415-416 (2016) - [c98]Marco De Bortoli, Roman Barták, Agostino Dovier, Neng-Fa Zhou:
Compiling and Executing PDDL in Picat. CILC 2016: 132-147 - [c97]Roman Barták, Jindrich Vodrázka:
Domain Modeling for Planning as Logic Programming. FLAIRS Conference 2016: 8-13 - [c96]Roman Barták, Vladislav Kubon:
On Similarities Between Workflow Verification and Grammar Checking. FLAIRS Conference 2016: 585-590 - [c95]Jindrich Vodrázka, Roman Barták:
The Benefit of Control Knowledge and Heuristics During Search in Planning. ICAART (2) 2016: 552-559 - [c94]Roman Barták, Agostino Dovier, Neng-Fa Zhou:
Multiple-Origin-Multiple-Destination Path Finding with Minimal Arc Usage: Complexity and Models. ICTAI 2016: 91-97 - [c93]Roman Barták, Michal Koutný, David Obdrzálek:
Practical 3D Tracking Using Low-Cost Cameras. IJCAI 2016: 4236-4237 - [c92]Roman Barták, Neng-Fa Zhou, Agostino Dovier:
Multiple-Origin-Multiple-Destination Path Finding with Minimal Arc Usage: Complexity and Models. KnowProS@IJCAI 2016 - [c91]Roman Barták, Jindrich Vodrázka:
The Effect of Domain Modeling on Efficiency of Planning. ISAIM 2016 - [c90]Lukás Chrpa, Roman Barták:
Guiding Planning Engines by Transition-Based Domain Control Knowledge. KR 2016: 545-548 - [c89]Roman Barták, Vladislav Kubon:
Using a Grammar Checker to Validate Compliance of Processes with Workflow Models. MICAI (1) 2016: 317-331 - [c88]Roman Barták, Tomás Dvorák:
On Verification of Workflow and Planning Domain Models Using Attribute Grammars. MICAI (1) 2016: 332-345 - [c87]Roman Barták, Marek Vlk:
Hierarchical Task Model for Resource Failure Recovery in Production Scheduling. MICAI (1) 2016: 362-378 - [c86]Jan Jelínek, Roman Barták:
Using Constraint Logic Programming to Schedule Solar Array Operations on the International Space Station. PADL 2016: 3-12 - [c85]Roman Barták:
Using Attribute Grammars to Model Nested Workflows with Extra Constraints. SOFSEM 2016: 171-182 - [e3]Roman Barták, Thomas Leo McCluskey, Enrico Pontelli:
Proceedings of the Workshop on Knowledge-based Techniques for Problem Solving and Reasoning co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 10, 2016. CEUR Workshop Proceedings 1648, CEUR-WS.org 2016 [contents] - 2015
- [j28]Filip Dvorak, Daniel Toropila, Roman Barták:
Yet more planning efficiency: Finite-domain state-variable reformulation. J. Exp. Theor. Artif. Intell. 27(5): 543-576 (2015) - [j27]Neng-Fa Zhou, Roman Barták, Agostino Dovier:
Planning as tabled logic programming. Theory Pract. Log. Program. 15(4-5): 543-558 (2015) - [c84]Roman Barták, Jindrich Vodrázka:
Searching for Sequential Plans Using Tabled Logic Programming. RCRA@AI*IA 2015: 24-38 - [c83]Jan Skoda, Roman Barták:
Camera-Based Localization and Stabilization of a Flying Drone. FLAIRS Conference 2015: 372-378 - [c82]Roman Barták, Marek Vlk:
Reactive Recovery from Machine Breakdown in Production Scheduling with Temporal Distance and Resource Constraints. ICAART (2) 2015: 119-130 - [c81]Roman Barták, Marek Vlk:
Machine Breakdown Recovery in Production Scheduling with Simple Temporal Constraints. ICAART (Revised Selected Papers) 2015: 185-206 - [c80]Roman Barták, Adam Vykovsky:
Any Object Tracking and Following by a Flying Drone. MICAI (Special Sessions) 2015: 35-41 - [c79]Filip Matzner, Roman Barták:
Short-Term Motion Tracking Using Inexpensive Sensors. MICAI (2) 2015: 583-601 - [c78]Roman Barták, Agostino Dovier, Neng-Fa Zhou:
On modeling planning problems in tabled logic programming. PPDP 2015: 31-42 - [c77]Tomás Balyo, Roman Barták:
No One SATPlan Encoding To Rule Them All. SOCS 2015: 146-150 - [c76]Roman Barták, Jindrich Vodrázka:
The effect of domain modeling on efficiency of planning: Lessons from the Nomystery domain. TAAI 2015: 433-440 - [i8]Neng-Fa Zhou, Roman Barták, Agostino Dovier:
Planning as Tabled Logic Programming. CoRR abs/1507.03979 (2015) - 2014
- [b1]Roman Barták, Robert A. Morris, Kristen Brent Venable:
An Introduction to Constraint-Based Temporal Reasoning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014 - [j26]Roman Barták, Vladimír Rovenský:
On verification of nested workflows with extra constraints: From theory to practice. Expert Syst. Appl. 41(3): 904-918 (2014) - [j25]Roman Barták, Neng-Fa Zhou:
Using Tabled Logic Programming to Solve the Petrobras Planning Problem. Theory Pract. Log. Program. 14(4-5): 697-710 (2014) - [c75]Martin Cerný, Cyril Brom, Roman Barták, Martin Antos:
Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction. AIIDE 2014 - [c74]Jindrich Vodrázka, Roman Barták:
On Modeling Formalisms for Automated Planning. AIMSA 2014: 270-277 - [c73]Otakar Trunda, Roman Barták:
Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning. MetaSel@ECAI 2014: 51-52 - [c72]Roman Barták, Andrej Hrasko, David Obdrzálek:
On Autonomous Landing of AR.Drone: Hands-On Experience. FLAIRS Conference 2014 - [c71]Roman Barták, David Obdrzálek:
Special Track on Intelligent Autonomous Systems. FLAIRS Conference 2014 - [c70]Filip Dvorak, Roman Barták, Arthur Bit-Monnot, Félix Ingrand, Malik Ghallab:
Planning and Acting with Temporal and Hierarchical Decomposition Models. ICTAI 2014: 115-121 - [c69]Martin Kolombo, Roman Barták:
A Constraint-Based Planner for Mars Express Orbiter. MICAI (2) 2014: 451-463 - [p1]Roman Barták:
Planning and Scheduling. Computing Handbook, 3rd ed. (1) 2014: 39: 1-14 - [e2]Stefan Edelkamp, Roman Barták:
Proceedings of the Seventh Annual Symposium on Combinatorial Search, SOCS 2014, Prague, Czech Republic, 15-17 August 2014. AAAI Press 2014, ISBN 978-1-57735-676-9 [contents] - [i7]Roman Barták, Neng-Fa Zhou:
Using Tabled Logic Programming to Solve the Petrobras Planning Problem. CoRR abs/1405.2501 (2014) - 2013
- [j24]Roman Barták, Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný:
Formulating the template ILP consistency problem as a constraint satisfaction problem. Constraints An Int. J. 18(2): 144-165 (2013) - [j23]Roman Barták, Simone Fratini, Thomas Leo McCluskey:
Preface to special issue on Knowledge Engineering for Planning and Scheduling. Knowl. Eng. Rev. 28(2): 117-119 (2013) - [c68]Roman Barták:
Simplifying Verification of Nested Workflows with Extra Constraints. FLAIRS Conference 2013 - [c67]Roman Barták, Cyril Brom, Martin Cerný, Jakub Gemrot:
Planning and Reactive Agents in Dynamic Game Environments - An Experimental Study. ICAART (1) 2013: 234-240 - [c66]Otakar Trunda, Roman Barták:
Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains. MICAI (2) 2013: 435-449 - [c65]Roman Barták, Neng-Fa Zhou:
On Modeling Planning Problems: Experience from the Petrobras Challenge. MICAI (2) 2013: 466-477 - [c64]Filip Dvorak, Daniel Toropila, Roman Barták:
Towards AI Planning Efficiency: Finite-Domain State Variable Reformulation. SARA 2013 - 2012
- [c63]Rudolf Kadlec, Csaba Tóth, Martin Cerný, Roman Barták, Cyril Brom:
Planning Is the Game: Action Planning as a Design Tool and Game Mechanism. AIIDE 2012 - [c62]Andrej Chovanec, Roman Barták:
Decomposition, Merging, and Refinement Approach to Boost Inductive Logic Programming Algorithms. AIMSA 2012: 184-194 - [c61]Roman Barták, Milan Jaska, Ladislav Novak, Vladimír Rovenský, Tomás Skalický, Martin Cully, Con Sheahan, Thanh-Tung Dang:
FlowOpt: Bridging the Gap Between Optimization Technology and Manufacturing Planners. ECAI 2012: 1003-1004 - [c60]Roman Barták, Filip Dvorak, Jakub Gemrot, Cyril Brom, Daniel Toropila:
When Planning Should Be Easy: On Solving Cumulative Planning Problems. FLAIRS Conference 2012 - [c59]Roman Barták:
On Complexity of Verifying Nested Workflows with Extra Constraints. ICAART (1) 2012: 346-354 - [c58]Daniel Toropila, Filip Dvorak, Otakar Trunda, Martin Hanes, Roman Barták:
Three Approaches to Solve the Petrobras Challenge: Exploiting Planning Techniques for Solving Real-Life Logistics Problems. ICTAI 2012: 191-198 - [c57]Tomás Balyo, Roman Barták, Pavel Surynek:
Shortening Plans by Local Re-planning. ICTAI 2012: 1022-1028 - [c56]Roman Barták, Vladimír Rovenský:
Verifying Nested Workflows with Extra Constraints. MICAI (1) 2012: 359-370 - [c55]Tomás Balyo, Roman Barták, Pavel Surynek:
On Improving Plan Quality via Local Enhancements. SOCS 2012 - [c54]Roman Barták, Con Sheahan, Ann Sheahan:
MAK€- A System for Modelling, Optimising, and Analyzing Production in Small and Medium Enterprises. SOFSEM 2012: 600-611 - 2011
- [j22]Roman Barták, Miguel A. Salido:
Constraint satisfaction for planning and scheduling problems. Constraints An Int. J. 16(3): 223-227 (2011) - [c53]Roman Barták:
A Novel Constraint Model for Parallel Planning. FLAIRS Conference 2011 - [c52]Roman Barták, Michal Zerola, Stanislav Slusny:
Towards Routing for Autonomous Robots - Using Constraint Programming in an Anytime Path Planner. ICAART (1) 2011: 313-320 - [c51]Andrej Chovanec, Roman Barták:
Boosting Inductive Logic Programming via Decomposition, Merging, and Refinement. ICTAI 2011: 914-915 - [c50]Andrej Chovanec, Roman Barták:
On Generating Templates for Hypothesis in Inductive Logic Programming. MICAI (1) 2011: 162-173 - [c49]Roman Barták:
On Constraint Models for Parallel Planning: The Novel Transition Scheme. SCAI 2011: 50-59 - 2010
- [j21]Roman Barták, Simone Fratini, Lee McCluskey:
The Third Competition on Knowledge Engineering for Planning and Scheduling. AI Mag. 31(1): 95-98 (2010) - [j20]Toshinori Munakata, Roman Barták:
Logic programming for combinatorial problems. Artif. Intell. Rev. 33(1-2): 135-150 (2010) - [j19]Roman Barták, Ondrej Cepek, Pavel Surynek:
Discovering implied constraints in precedence graphs with alternatives. Ann. Oper. Res. 180(1): 233-263 (2010) - [j18]Roman Barták, Daniel Toropila:
Solving Sequential Planning Problems via Constraint Satisfaction. Fundam. Informaticae 99(2): 125-145 (2010) - [j17]Roman Barták, Miguel A. Salido, Francesca Rossi:
Constraint satisfaction techniques in planning and scheduling. J. Intell. Manuf. 21(1): 5-15 (2010) - [j16]Roman Barták, James Little, Oscar Manzano, Con Sheahan:
From enterprise models to scheduling models: bridging the gap. J. Intell. Manuf. 21(1): 121-132 (2010) - [j15]Roman Barták, Amedeo Cesta, Lee McCluskey, Miguel A. Salido:
Preface to special issue on planning and scheduling. Knowl. Eng. Rev. 25(3): 247-248 (2010) - [j14]Roman Barták, Miguel A. Salido, Francesca Rossi:
New trends in constraint satisfaction, planning, and scheduling: a survey. Knowl. Eng. Rev. 25(3): 249-279 (2010) - [j13]Roman Barták, Hana Rudová:
Special issue on applications and methodologies for planning and scheduling: editorial. J. Sched. 13(4): 299-300 (2010) - [c48]Roman Barták, Ondrej Kuzelka, Filip Zelezný:
Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. Abstraction, Reformulation, and Approximation 2010 - [c47]Roman Barták:
Constraint Models for Reasoning on Unification in Inductive Logic Programming. AIMSA 2010: 101-110 - [c46]Roman Barták, Ondrej Kuzelka, Filip Zelezný:
Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. FLAIRS Conference 2010 - [c45]Filip Dvorak, Roman Barták:
Integrating Time and Resources into Planning. ICTAI (2) 2010: 71-78 - [c44]Roman Barták:
Optimizing Alternatives in Precedence Networks. MICAI (1) 2010: 197-208
2000 – 2009
- 2009
- [c43]Roman Barták:
Tutorial: constraint-based scheduling. CISched 2009 - [c42]Roman Barták, Daniel Toropila:
Constraint Models for Sequential Planning. CPAIOR 2009: 314-315 - [c41]Roman Barták:
Special Track on Artificial Intelligence Planning and Scheduling. FLAIRS Conference 2009 - [c40]Roman Barták, Daniel Toropila:
Enhancing Constraint Models for Planning Problems. FLAIRS Conference 2009 - [c39]Michal Zerola, Michal Sumbera, Jérôme Lauret, Roman Barták:
Efficient multi-site data movement in distributed environment. GRID 2009: 171-172 - [c38]Michal Zerola, Michal Sumbera, Roman Barták, Jérôme Lauret:
Using Constraint Programming to Plan Efficient Data Movement on the Grid. ICTAI 2009: 729-733 - [c37]Roman Barták, Daniel Toropila:
Revisiting Constraint Models for Planning Problems. ISMIS 2009: 582-591 - [c36]Roman Barták, Daniel Toropila:
Integrating Constraint Models for Sequential and Partial-Order Planning. SARA 2009 - [c35]Lukás Chrpa, Roman Barták:
Reformulating Planning Problems by Eliminating Unpromising Actions. SARA 2009 - [r1]Roman Barták:
Constraint Processing. Encyclopedia of Artificial Intelligence 2009: 404-409 - [i6]Michal Zerola, Jérôme Lauret, Roman Barták, Michal Sumbera:
Using constraint programming to resolve the multi-source/multi-site data movement paradigm on the Grid.