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The virtual lands of Oz: testing an agribot in simulation
TLDR
An industrial case study on the feasibility and effectiveness of performing intensive tests in virtual environments of an agriculture robot for autonomous weeding using a 3D simulator based on Gazebo, which revealed most software issues found in the field.
Problem Splitting Using Heuristic Search in Landmark Orderings
TLDR
A new method for problem splitting based on landmarks is proposed which has two advantages over the original technique: it is complete (if a solution exists, the algorithm finds it), and it uses the precedence relation over the landmarks in a more flexible way.
Parallel AI Planning on the SCC
TLDR
This paper presents a parallelized version of an existing Artificial Intelligence automated planner, implemented with standard programming models and tools (hybrid OpenMP/MPI), and obtains interesting speedups on both architectures.
Landmark-based Meta Best-First Search Algorithm : First Parallelization Attempt and Evaluation
TLDR
A new method for problem splitting based on landmarks is proposed which has two advantages over the original technique: it is complete (if a solution exists, the algorithm finds it), and it uses the precedence relation over the landmarks in a more flexible way.
The Landmark-based Meta Best-First Search Algorithm for Classical Planning
TLDR
This paper lays the foundations of a meta best-first search algorithm, which explores the landmark orderings and can use any embedded planner to solve each subproblem, and opens up avenues for future research.