A review of machine learning for automated planning
Recent discoveries in automated planning are broadening the scope of planners, from toy
problems to real applications. However, applying automated planners to real-world …
problems to real applications. However, applying automated planners to real-world …
Task planning in robotics: an empirical comparison of pddl-and asp-based systems
Robots need task planning algorithms to sequence actions toward accomplishing goals that
are impossible through individual actions. Off-the-shelf task planners can be used by …
are impossible through individual actions. Off-the-shelf task planners can be used by …
Combining linear programming and automated planning to solve intermodal transportation problems
When dealing with transportation problems Operational Research (OR), and related areas
as Artificial Intelligence (AI), have focused mostly on uni-modal transport problems. Due to …
as Artificial Intelligence (AI), have focused mostly on uni-modal transport problems. Due to …
The first learning track of the international planning competition
Abstract The International Planning Competition is a biennial event organized in the context
of the International Conference on Automated Planning and Scheduling. The 2008 …
of the International Conference on Automated Planning and Scheduling. The 2008 …
Planning in action language BC while learning action costs for mobile robots
The action language BC provides an elegant way of formalizing dynamic domains which
involve indirect effects of actions and recursively defined fluents. In complex robot task …
involve indirect effects of actions and recursively defined fluents. In complex robot task …
[PDF][PDF] Learning Linear Ranking Functions for Beam Search with Application to Planning.
Y Xu, A Fern, S Yoon - Journal of Machine Learning Research, 2009 - jmlr.org
Beam search is commonly used to help maintain tractability in large search spaces at the
expense of completeness and optimality. Here we study supervised learning of linear …
expense of completeness and optimality. Here we study supervised learning of linear …
FUSE: Towards AI-Based Future Services for Generating Augmented Reality Experiences
This chapter explores the use of Artificial Intelligence (AI) to semantically understand the
scene, to decide when to provide Augmented Reality (AR) content or to take other actions …
scene, to decide when to provide Augmented Reality (AR) content or to take other actions …
Control of autonomous mobile robots with automated planning
E Quintero Barrios, Á García-Olaya, D Borrajo Millán… - 2011 - rua.ua.es
In this paper we present an approach for the control of autonomous robots, based on
Automated Planning (AP) techniques, where a control architecture was developed (ROPEM …
Automated Planning (AP) techniques, where a control architecture was developed (ROPEM …
[PDF][PDF] Learning Relational Decision Trees for Guiding Heuristic Planning.
The current evaluation functions for heuristic planning are expensive to compute. In
numerous domains these functions give good guidance on the solution, so it worths the …
numerous domains these functions give good guidance on the solution, so it worths the …
The use of artificial intelligence and mixed reality in preventing natural disasters: practical and legal issues
I Allegranti, G Battineni, R Garetto - Augmented Reality and Artificial …, 2023 - Springer
This chapter describes the role artificial intelligence (AI) and augmented reality (AR) play in
preventing natural disasters such as pandemics, earthquakes, cyclones, etc. Disaster relief …
preventing natural disasters such as pandemics, earthquakes, cyclones, etc. Disaster relief …