activity
20182023
most citedEnd-User Programming of Low- and High-Level Actions for Robotic Task Planning

14 citations · 34 across the 6 of their papers we have counts for

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13 papers · 1 filter

cs.AI2023

On Guiding Search in HTN Temporal Planning with non Temporal Heuristics

Nicolas Cavrel, Damien Pellier, Humbert Fiorino

The Hierarchical Task Network (HTN) formalism is used to express a wide variety of planning problems as task decompositions, and many techniques have been proposed to solve them. H…

cs.AI20212 cited

From Classical to Hierarchical: benchmarks for the HTN Track of the International Planning Competition

Damien Pellier, Humbert Fiorino

In this short paper, we outline nine classical benchmarks submitted to the first hierarchical planning track of the International Planning competition in 2020. All of these benchma…

cs.AI20206 cited

Totally and Partially Ordered Hierarchical Planners in PDDL4J Library

Damien Pellier, Humbert Fiorino

In this paper, we outline the implementation of the TFD (Totally Ordered Fast Downward) and the PFD (Partially ordered Fast Downward) hierarchical planners that participated in the…

cs.AI20202 cited

AMLSI: A Novel Accurate Action Model Learning Algorithm

Maxence Grand, Humbert Fiorino, Damien Pellier

This paper presents new approach based on grammar induction called AMLSI Action Model Learning with State machine Interactions. The AMLSI approach does not require a training datas…

cs.AI201910 cited

HDDL -- A Language to Describe Hierarchical Planning Problems

D. Höller, G. Behnke, P. Bercher +4

The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but a…

cs.AI2019

Hierarchical Planning in the IPC

D. Höller, G. Behnke, P. Bercher +4

Over the last year, the amount of research in hierarchical planning has increased, leading to significant improvements in the performance of planners. However, the research is dive…