14 citations · 24 across the 5 of their papers we have counts for
5 papers
End-User Programming of Low- and High-Level Actions for Robotic Task Planning
Ying Siu Liang, Damien Pellier, Humbert Fiorino +1
Programming robots for general purpose applications is extremely challenging due to the great diversity of end-user tasks ranging from manufacturing environments to personal homes.…
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…
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…
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…
Learning Macro-actions for State-Space Planning
Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino +1
Planning has achieved significant progress in recent years. Among the various approaches to scale up plan synthesis, the use of macro-actions has been widely explored. As a first s…