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» Mexar2: AI Solves Mission Planner Problems
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AI
2011
Springer
13 years 7 days ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
13 years 10 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
CPAIOR
2005
Springer
13 years 10 months ago
Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Jeremy Frank, Elif Kürklü
CPAIOR
2006
Springer
13 years 9 months ago
An Efficient Hybrid Strategy for Temporal Planning
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
Zhao Xing, Yixin Chen, Weixiong Zhang
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 3 months ago
Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study
— Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance within the oceanographic research community. Contrary to traditional moored or static pl...
Ryan N. Smith, Arvind Pereira, Yi Chao, Peggy Li, ...