Bercher , P., Biundo , S., Geier , T., Hoernle , T., Nothdurft , F., Richter , F. & Schattenberg , B. 2014. Plan, repair, execute, explain - how planning helps to assemble your home theater. In Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2014, Portsmouth, New Hampshire, USA, June 21–26, 2014. AAAI.

Bidot , J., Schattenberg , B. & Biundo , S. 2008. Plan repair in hybrid planning In KI 2008: Advances in Artificial Intelligence, 169–176. Springer Berlin Heidelberg.

Boella , G. & Damiano , R. 2002. A replanning algorithm for a reactive agent architecture. In Artificial Intelligence: Methodology, Systems, and Applications, 10th International Conference, AIMSA 2002, Varna, Bulgaria, September 4–6, 2002, Proceedings, Scott , D. (ed.). Lecture Notes in Computer Science 2443, 183–192. Springer.

Bonet , B. 2010. Conformant plans and beyond: Principles and complexity. Artificial Intelligence 174(3-4), 245–269.10.1016/j.artint.2009.11.001

Borrajo , D. & Veloso , M. 2021. Computing opportunities to augment plans for novel replanning during execution. In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2–13, 2021, Biundo , S., Do , M., Goldman , R., Katz , M., Yang , Q. & Zhuo , H. H. (eds), 51–55. AAAI Press.

Cardellini , M., Dodaro , C., Galatà , G., Giardini , A., Maratea , M., Nisopoli , N. & Porro , I. 2023. Rescheduling rehabilitation sessions with answer set programming. Journal of Logic and Computation 33(4), 837–863.10.1093/logcom/exad014

Cimatti , A., Pistore , M., Roveri , M. & Traverso , P. 2003. Weak, strong, and strong cyclic planning via symbolic model checking. Artificial Intelligence 147(1–2), 35–84.10.1016/S0004-3702(02)00374-0

desJardins , M., Durfee , E. H., Jr., C. L. O. & Wolverton , M. 1999. A survey of research in distributed, continual planning. AI Magazine 20(4), 13–22.

Fox , M., Gerevini , A., Long , D. & Serina , I. 2006. Plan stability: Replanning versus plan repair. In ICAPS, 212–221. AAAI.

Fox , M. & Long , D. 2003. PDDL2.1: An extension to PDDL for expressing temporal planning domains. Journal of Artificial Intelligence Research 20, 61–124.10.1613/jair.1129

Garrido , A., C., G. & Onaindia, E. 2010. Anytime plan-adaptation for continuous planning. In Proc. of P&S Special Interest Group Workshop (PLANSIG-10).

Gerevini , A., Roubcková , A., Saetti , A. & Serina , I. 2013. On the plan-library maintenance problem in a case-based planner. In Case-Based Reasoning Research and Development - 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8–11, 2013, Proceedings, Delany , S. J. & Ontañón , S. (eds), Lecture Notes in Computer Science 7969, 119–133. Springer.

Gerevini , A., Saetti , A. & Serina , I. 2011. An empirical analysis of some heuristic features for planning through local search and action graphs. Fundamenta Informaticae 107(2–3), 167–197.10.3233/FI-2011-399

Gerevini , A. & Serina , I. 2010. Efficient plan adaptation through replanning windows and heuristic goals. Fundamenta Informaticae 102(3–4), 287–323.10.3233/FI-2010-309

Goldman , R. P., Kuter , U. & Freedman , R. G. 2020. Stable plan repair for state-space htn planning. In Proceedings of the ICAPS-20 Workshop on Hierarchical Planning (HPlan 2020), 27–35.

Grastien , A. & Scala , E. 2020. CPCES: A planning framework to solve conformant planning problems through a counterexample guided refinement. Artificial Intelligence 284, 103271.10.1016/j.artint.2020.103271

Helmert , M. 2006. The fast downward planning system. Journal of Artificial Intelligence Research 26, 191–246.10.1613/jair.1705

Höller , D., Bercher , P., Behnke , G. & Biundo , S. 2018. Htn plan repair using unmodified planning systems. In Proceedings of the 1st ICAPS Workshop on Hierarchical Planning (HPlan), 26–30.

Höller , D., Bercher , P., Behnke , G. & Biundo , S. 2020. HTN plan repair via model transformation. In KI 2020: Advances in Artificial Intelligence - 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020, Proceedings, Lecture Notes in Computer Science 12325, 88–101. Springer.

Ingrand , F. & Ghallab , M. 2017. Deliberation for autonomous robots: A survey. Artificial Intelligence 247, 10–44.10.1016/j.artint.2014.11.003

Kaelbling , L. P., Littman , M. L. & Cassandra , A. R. 1998. Planning and acting in partially observable stochastic domains. Artificial Intelligence 101(1-2), 99–134.10.1016/S0004-3702(98)00023-X

Katz , M., Sohrabi , S., Samulowitz , H. & Sievers , S. 2018. Delfi: Online planner selection for cost-optimal planning. IPC-9 planner abstracts, 57–64.

Keyder , E. & Geffner , H. 2009. Soft goals can be compiled away. Journal of Artificial Intelligence Research 36, 547–556.10.1613/jair.2857

Koenig , S. & Likhachev , M. 2002. D*lite. In Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28–August 1, 2002, Edmonton, Alberta, Canada, 476–483. AAAI Press/The MIT Press.

Lipovetzky , N. & Geffner , H. 2017. Best-first width search: Exploration and exploitation in classical planning. In AAAI, 3590–3596. AAAI Press.

Micheli , A., et al. 2024. Unified planning framework.

Muñoz-Avila , H. & Cox , M. T. 2008. Case-based plan adaptation: An analysis and review. IEEE Intelligent Systems 23(4), 75–81.10.1109/MIS.2008.59

Nebel , B. & Koehler , J. 1995. Plan reuse versus plan generation: A theoretical and empirical analysis. Artificial Intelligence 76(1-2), 427–454.10.1016/0004-3702(94)00082-C

Percassi , F., Scala , E. & Vallati , M. 2023. Fixing plans for PDDL+ problems: Theoretical and practical implications. In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, Prague, Czech Republic, July 8–13, 2023, 324–333. AAAI Press.

Pozanco , A., Borrajo , D. & Veloso , M. 2023. Generating replanning goals through multi-objective optimization in response to execution observation. In ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland. Frontiers in Artificial Intelligence and Applications 372, 1898–1905. IOS Press.

Richter , S. & Westphal , M. 2010. The LAMA planner: Guiding cost-based anytime planning with landmarks. Journal of Artificial Intelligence Research 39, 127–177.10.1613/jair.2972

Rintanen , J. 2004. Complexity of planning with partial observability. In Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), June 3–7 2004, Whistler, British Columbia, Canada, 345–354. AAAI.

Ruml , W., Do , M. B., Zhou , R. & Fromherz , M. P. J. 2011. On-line planning and scheduling: An application to controlling modular printers. Journal of Artificial Intelligence Research (JAIR) 40, 415–468.10.1613/jair.3184

Saetti , A. & Scala , E. 2022. Optimizing the stability in plan repair via compilation. In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13–24, 2022, 316–320. AAAI Press.

Scala , E. 2014. Plan repair for resource constrained tasks via numeric macro actions. In ICAPS. AAAI.

Scala , E. & Torasso , P. 2014. Proactive and reactive reconfiguration for the robust execution of multi modality plans. In ECAI. Frontiers in Artificial Intelligence and Applications 263, 783–788. IOS Press.

Scala , E. & Torasso , P. 2015. Deordering and numeric macro actions for plan repair. In IJCAI, 1673–1681. AAAI Press.

Smith , D. E. & Weld , D. S. 1998. Conformant graphplan. In AAAI/IAAI, 889–896. AAAI Press/The MIT Press.

van der Krogt , R. & de Weerdt , M. 2005. Plan repair as an extension of planning. In Proc. of International Conference on Automated Planning and Scheduling (ICAPS-05), 161–170.

Warfield , I., Hogg , C., Lee-Urban , S. & Muñoz-Avila , H. 2007. Adaptation of hierarchical task network plans. In Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, May 7–9, 2007, Key West, Florida, USA, 429–434. AAAI Press.

Yoon , S. W., Fern , A. & Givan , R. 2007. Ff-replan: A baseline for probabilistic planning. In ICAPS, 352. AAAI.