no code implementations • 13 Jun 2023 • Nicolas Cavrel, Damien Pellier, Humbert Fiorino
This is partly due to the lack of a formal and consensual definition of what a temporal hierarchical planning problem is as well as the difficulty to develop heuristics in this context.
no code implementations • 12 Jun 2023 • Damien Pellier, Alexandre Albore, Humbert Fiorino, Rafael Bailon-Ruiz
HDDL, a hierarchical extension of the Planning Domain Definition Language (PDDL), unlike PDDL 2. 1 does not allow to represent planning problems with numerical and temporal constraints, which are essential for real world applications.
no code implementations • 8 Dec 2021 • Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty
In fact, teaching robots new actions from scratch that can be reused for previously unseen tasks remains a difficult challenge and is generally left up to robotics experts.
no code implementations • 8 Dec 2021 • Maxence Grand, Damien Pellier, Humbert Fiorino
In this paper, we present TempAMLSI, an algorithm based on the AMLSI approach able to learn temporal domains.
no code implementations • 9 Mar 2021 • Damien Pellier, Humbert Fiorino
All of these benchmarks are based on the HDDL language.
no code implementations • 26 Nov 2020 • 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 first HTN IPC competition in 2020.
no code implementations • 26 Nov 2020 • Maxence Grand, Humbert Fiorino, Damien Pellier
This paper presents new approach based on grammar induction called AMLSI Action Model Learning with State machine Interactions.
no code implementations • 22 Oct 2018 • Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty
AI techniques, such as machine learning, can be used to learn behavioral models (also known as symbolic action models in AI), intended to be reusable for AI planning, from the aforementioned multimodal traces.
no code implementations • 22 Oct 2018 • Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty
Planning has achieved significant progress in recent years.
no code implementations • 19 Oct 2018 • Damien Pellier, Humbert Fiorino
The purpose of the paper is to introduce a new approach of planning called Assumption-Based Planning.
no code implementations • 19 Oct 2018 • Damien Pellier, Humbert Fiorino
This paper introduces a multirobot cooperation approach to solve the "pursuit evasion" problem for mobile robots that have omnidirectional vision sensors.
no code implementations • 19 Oct 2018 • Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty
The increasing presence of robots in industries has not gone unnoticed.
no code implementations • 3 Oct 2018 • Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty
In the field of Automated Planning and Scheduling (APS), intelligent agents by virtue require an action model (blueprints of actions whose interleaved executions effectuates transitions of the system state) in order to plan and solve real world problems.
no code implementations • 7 Oct 2016 • Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty
Planning has achieved significant progress in recent years.