References

  1. Alexandre Albore, Hector Palacios & Hector Geffner (2009): A translation-based approach to contingent planning. In: Proc. of the International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press, pp. 1623–1628.
  2. J Benton, Amanda Jane Coles & Andrew Coles (2012): Temporal Planning with Preferences and Time-Dependent Continuous Costs. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 2–10.
  3. Piergiorgio Bertoli, Alessandro Cimatti, Marco Roveri & Paolo Traverso (2001): Planning in nondeterministic domains under partial observability via symbolic model checking. In: Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) 2001. AAAI Press, pp. 473–478.
  4. Piergiorgio Bertoli, Alessandro Cimatti, Marco Roveri & Paolo Traverso (2006): Strong planning under partial observability. Artificial Intelligence 170(4-5), pp. 337–384, doi:10.1016/j.artint.2006.01.004.
  5. Blai Bonet & Hector Geffner (2011): Planning under partial observability by classical replanning: Theory and experiments. In: Proc. of the International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press.
  6. Daniel Bryce, Subbarao Kambhampati & David E Smith (2006): Planning graph heuristics for belief space search. Journal of Artificial Intelligence Research (JAIR) 26, pp. 35–99, doi:10.1613/jair.1869.
  7. Alberto Camacho, Christian J Muise & Sheila A McIlraith (2016): From FOND to Robust Probabilistic Planning: Computing Compact Policies that Bypass Avoidable Deadends. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 65–69.
  8. Y. Carreno, A. Ng Jun Hao, Y. Petillot & R. P. A Petrick (2022): Planning, Execution, and Adaptation for Multi-Robot Systems using Probabilistic and Temporal Planning. In: Proc. of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). IFAAMAS, pp. 217–225.
  9. Y. Carreno, È. Pairet, Y. Petillot & R. P. A Petrick (2020): Task allocation strategy for heterogeneous robot teams in offshore missions. In: Proc. of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). IFAAMAS, pp. 222–230.
  10. Y. Carreno, Y. Petillot & R. P. A. Petrick (2020): Towards Robust Mission Execution via Temporal and Contingent Planning. In: Proc. of the Annual Conference Towards Autonomous Robotic Systems (TAROS). Springer, pp. 214–217, doi:10.1007/978-3-030-63486-5_24.
  11. Y. Carreno, Y. Petillot & R. P. A Petrick (2021): Compiling Contingent Planning into Temporal Planning for Robust AUV Deployments. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS) Workshop on Planning and Robotics (PlanRob).
  12. Y. Carreno, J. Scharff Willners, Y. Petillot & R. P. A Petrick (2021): Situation-Aware Task Planning for Robust AUV Exploration in Extreme Environments. In: Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Robust and Reliable Autonomy in the Wild (R2AW).
  13. Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni & Bram Ridder (2017): Opportunistic planning in autonomous underwater missions. IEEE Transactions on Automation Science and Engineering 15(2), pp. 519–530, doi:10.1109/TASE.2016.2636662.
  14. Alessandro Cimatti, Luke Hunsberger, Andrea Micheli & Marco Roveri (2014): Using timed game automata to synthesize execution strategies for simple temporal networks with uncertainty. In: Proc. of the AAAI Conference on Artificial Intelligence 28.
  15. Amanda Jane Coles (2012): Opportunistic Branched Plans to Maximise Utility in the Presence of Resource Uncertainty. In: Proc. of the European Conference on Artificial Intelligence (ECAI) 2012, pp. 252.
  16. Amanda Jane Coles, Andrew Coles, Maria Fox & Derek Long (2010): Forward-Chaining Partial-Order Planning. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 42–49.
  17. Carlo Combi, Luke Hunsberger & Roberto Posenato (2013): An algorithm for checking the dynamic controllability of a conditional simple temporal network with uncertainty. Evaluation 1(1).
  18. Carlo Combi, Roberto Posenato, Luca Viganò & Matteo Zavatteri (2019): Conditional simple temporal networks with uncertainty and resources. Journal of Artificial Intelligence Research (JAIR) 64, pp. 931–985.
  19. Stephen Cresswell & Alexandra Coddington (2003): Planning with timed literals and deadlines. In: Proc. of Workshop of the UK PlanSIG, pp. 23–35.
  20. Patrick Eyerich, Robert Mattmüller & Gabriele Röger (2009): Using the context-enhanced additive heuristic for temporal and numeric planning. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 130–137.
  21. Janae N Foss & Nilufer Onder (2005): Generating temporally contingent plans. In: Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains.
  22. Maria Fox & Derek Long (2003): PDDL2.1: An extension to PDDL for expressing temporal planning domains. Journal of Artificial Intelligence Research (JAIR) 20, pp. 61–124, doi:10.1613/jair.1129.
  23. Hector Geffner & Blai Bonet (2013): A concise introduction to models and methods for automated planning. Synthesis Lectures on Artificial Intelligence and Machine Learning 8(1), pp. 1–141, doi:10.2200/S00513ED1V01Y201306AIM022.
  24. Malik Ghallab, Dana Nau & Paolo Traverso (2004): Automated Planning: theory and practice. Elsevier.
  25. Muhammad Adnan Hashmi & Amal El Fallah Seghrouchni (2010): Merging of temporal plans supported by plan repairing. In: Proc. of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2. IEEE, pp. 87–94.
  26. Malte Helmert (2009): Concise finite-domain representations for PDDL planning tasks. Artificial Intelligence 173(5-6), pp. 503–535, doi:10.1016/j.artint.2008.10.013.
  27. Karla L Hoffman, Manfred Padberg & Giovanni Rinaldi (2013): Traveling salesman problem. In: Encyclopedia of operations research and management science. Springer, pp. 1573–1578, doi:10.1007/978-1-4419-1153-7_1068.
  28. Jörg Hoffmann (2003): The Metric-FF Planning System: Translating ``Ignoring Delete Lists'' to Numeric State Variables. Journal of Artificial Intelligence Research (JAIR) 20, pp. 291–341, doi:10.1613/jair.1144.
  29. Jörg Hoffmann & Ronen Brafman (2005): Contingent planning via heuristic forward search with implicit belief states. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 71–80.
  30. L. Kunze, N. Hawes, T. Duckett, M. Hanheide & T Krajník (2018): Artificial intelligence for long-term robot autonomy: A survey. IEEE Robotics and Automation Letters (RA-L) 3(4), pp. 4023–4030, doi:10.1109/LRA.2018.2860628.
  31. Derek Long & Maria Fox (2003): The 3rd international planning competition: Results and analysis. Journal of Artificial Intelligence Research (JAIR) 20, pp. 1–59, doi:10.1613/jair.1240.
  32. Derek Long & Maria Fox (2003): Exploiting a graphplan framework in temporal planning. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 51–62.
  33. Drew McDermott, Malik Ghallab, Adele Howe, Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld & David Wilkins (1998): PDDL – The Planning Domain Definition Language (Version 1.2). Technical Report CVC TR-98-003/DCS TR-1165. Yale Center for Computational Vision and Control.
  34. Christian Muise, Vaishak Belle & Sheila McIlraith (2014): Computing contingent plans via fully observable non-deterministic planning. In: Proc. of the AAAI Conference on Artificial Intelligence 28.
  35. Christian Muise, Sheila McIlraith & Christopher Beck (2012): Improved non-deterministic planning by exploiting state relevance. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 172–180.
  36. Ahmed Nouman, Volkan Patoglu & Esra Erdem (2021): Hybrid conditional planning for robotic applications. The International Journal of Robotics Research 40(2-3), pp. 594–623, doi:10.1177/0278364920963783.
  37. Héctor Palacios, Alexandre Albore & Hector Geffner (2014): Compiling contingent planning into classical planning: New translations and results. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS) Workshop on Models and Paradigms for Planning under Uncertainty. AAAI Press.
  38. Mark A Peot & David E Smith (1992): Conditional nonlinear planning. In: AIPS. Elsevier, pp. 189–197.
  39. Ronald P. A. Petrick & Fahiem Bacchus (2002): A Knowledge-Based Approach to Planning with Incomplete Information and Sensing. In: Proc. of the International Conference on Artificial Intelligence Planning Systems (AIPS), pp. 212–222.
  40. Ronald P. A. Petrick & Fahiem Bacchus (2004): Extending the Knowledge-Based Approach to Planning with Incomplete Information and Sensing. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 2–11.
  41. Son Thanh To, Tran Cao Son & Enrico Pontelli (2011): Contingent planning as AND/OR forward search with disjunctive representation. In: Proc. of the International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press, pp. 258–265.
  42. Ioannis Tsamardinos, Thierry Vidal & Martha E Pollack (2003): CTP: A new constraint-based formalism for conditional, temporal planning. Constraints 8(4), pp. 365–388, doi:10.1023/A:1025894003623.
  43. Daniel S Weld, Corin R Anderson & David E Smith (1998): Extending graphplan to handle uncertainty & sensing actions. In: Proc. of the AAAI Conference on Artificial Intelligence, pp. 897–904.
  44. Ibrahim Faruk Yalciner, Ahmed Nouman, Volkan Patoglu & Esra Erdem (2017): Hybrid conditional planning using answer set programming. Theory and Practice of Logic Programming 17(5-6), pp. 1027–1047, doi:10.1017/S1471068417000321.
  45. Matteo Zavatteri & Luca Viganò (2019): Conditional simple temporal networks with uncertainty and decisions. Theoretical Computer Science 797, pp. 77–101, doi:10.1016/j.tcs.2018.09.023.

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