Abstract
Automated planning techniques are increasingly exploited in real-world applications, thanks to their flexibility and robustness. Hybrid domains, those that require to reason both with discrete and continuous aspects, are particularly challenging to handle with existing planning approaches due to their complex dynamics. In this paper we present a general approach that allows to combine the strengths of automated planning and control systems to support reasoning in hybrid domains. In particular, we propose an architecture to integrate Model Predictive Control (MPC) techniques from the field of control systems into an automated planner, to guide the effective exploration of the search space.
Original language | English |
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Title of host publication | Artificial Intelligence XXXVI |
Subtitle of host publication | 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings |
Editors | Max Bramer, Miltos Petridis |
Place of Publication | Cham |
Publisher | Springer Nature Switzerland AG |
Pages | 139-145 |
Number of pages | 7 |
Edition | 1st |
ISBN (Electronic) | 9783030348854 |
ISBN (Print) | 9783030348847 |
DOIs | |
Publication status | Published - 9 Jan 2020 |
Event | 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence - Peterhouse College, Cambridge, Cambridge, United Kingdom Duration: 17 Dec 2019 → 19 Dec 2019 Conference number: 39 http://www.bcs-sgai.org/ai2019/?section=call |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11927 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence |
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Abbreviated title | AI 2019 |
Country/Territory | United Kingdom |
City | Cambridge |
Period | 17/12/19 → 19/12/19 |
Internet address |