Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Florian Geißer"'
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:100-109
Planning problems of practical relevance commonly include multiple objectives that are difficult to weight a priori. Several heuristic search algorithms computing the Pareto front of non-dominated solutions have been proposed to handle these multi-ob
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 30:263-271
Symbolic search has proven to be a competitive approach to cost-optimal planning, as it compactly represents sets of states by symbolic data structures. While heuristics for symbolic search exist, symbolic bidirectional blind search empirically outpe
Autor:
Florian Geißer, Guillaume Povéda, Felipe Trevizan, Manon Bondouy, Florent Teichteil-Königsbuch, Sylvie Thiébaux
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 30:384-393
Aircraft flight planning is impacted by weather uncertainties. Existing approaches to flight planning are either deterministic and load additional fuel to account for uncertainty, or probabilistic but have to plan in 4D space. If constraints are impo
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 28:250-258
Symbolic representations have attracted significant attention in optimal planning. Binary Decision Diagrams (BDDs) form the basis for symbolic search algorithms. Closely related are Algebraic Decision Diagrams (ADDs), used to represent heuristic func
Publikováno v:
KI 2019: Advances in Artificial Intelligence ISBN: 9783030301781
KI
KI
The vast majority of work in planning to date has focused on state-independent action costs. However, if a planning task features state-dependent costs, using a cost model with state-independent costs means either introducing a modeling error, or pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b9c5bbc8104699356bb5c9fdf560105
https://doi.org/10.1007/978-3-030-30179-8_10
https://doi.org/10.1007/978-3-030-30179-8_10
Publikováno v:
IROS
Localization in dynamic environments is still a challenging problem in robotics - especially if rapid and large changes occur irregularly. Inspired by SLAM algorithms, our Bayesian approach to this so-called dynamic localization problem divides it in
Publikováno v:
Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial. Dec2024, Vol. 27 Issue 74, p227-242. 16p.
Publikováno v:
Scopus-Elsevier
Aalborg University
Aalborg University
Axioms are an extension for classical planning models that allow for modeling complex preconditions and goals exponentially more compactly. Although axioms were introduced in planning more than a decade ago, modern planning techniques rarely support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f853481dc8ffa91a12246d16e48964b9
http://www.scopus.com/inward/record.url?eid=2-s2.0-85085612306&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85085612306&partnerID=MN8TOARS
Publikováno v:
KI 2016: Advances in Artificial Intelligence; 2016, pI-XIV, 14p
Publikováno v:
2016 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS); 2016, p4517-4523, 7p