AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics

Author:

Ponzoni Carvalho Chanel Caroline,Albore Alexandre,T’Hooft Jorrit,Lesire CharlesORCID,Teichteil-Königsbuch Florent

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference90 articles.

1. Abeywickrama, D., & Zambonelli, F. (2012). Model checking goal-oriented requirements for self-adaptive systems. In International conference and workshops on engineering of computer based systems (ECBS), Novi Sad, Serbia.

2. Albore, A., Palacios, H., & Geffner, H. (2009) A. translation-based approach to contingent planning. In International joint conference on artificial intelligence (IJCAI), Providence, RI, USA.

3. Albore, A., Palacios, H., & Geffner, H. (2010). Compiling uncertainty away in non-deterministic conformant planning. In European conference on artificial intelligence (ECAI), Lisbon, Portugal.

4. Albore, A., Ramirez, M., & Geffner, H. (2011). Effective heuristics and belief tracking for planning with incomplete information. In International conference on automated planning and scheduling (ICAPS), Freiburg, Germany.

5. Baral, C., Kreinovich, V., & Trejo, R. (2000). Computational complexity of planning and approximate planning in the presence of incompleteness. Artificial Intelligence, 122(1–2), 241–267.

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