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Van Tuan Le

dblp:40/7735 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 100%
Computer networks
1 paper
Wireless networking · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
graph connectivity
0.112009
Making networked robots connectivity-aware · ICRA 2009
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.112009
Making networked robots connectivity-aware · ICRA 2009
Wireless networking
mobile ad hoc networks
0.012009
Making networked robots connectivity-aware · ICRA 2009

Methods — techniques the papers use, named apart from their topics

distributed algorithm · 0.2
YearPublicationVenuePosition
2009 Making networked robots connectivity-aware
abstract
Maintaining the network connectivity in mobile Multi-Robot Systems (MRSs) is a key issue in many robotic applications. In our view, the solution to this problem consists of two main steps: (i) making robots aware of the network connectivity; and (ii), making use of this knowledge to plan robots tasks without compromising connectivity. In this paper, we view the ad-hoc network connectivity as an abstraction that is independent from application issues. We propose a new distributed algorithm executing on individual robots to build the connectivity-awareness. The correctness and theoretical analysis of the proposed algorithm are given. We also show how our solution allows checking network bi-connectivity more efficiently than existing work and can be used, for example, during distributed control motion.
Van Tuan Le, Noury Bouraqadi, Serge Stinckwich, Victor Moraru, Arnaud Doniec
ICRA1
2009 Distributed Constraint Reasoning Applied to Multi-robot Exploration
abstract
Exploration of an unknown environment is one of the major applications of multi-robot systems. Many works have proposed multi-robot coordination algorithms to accomplish exploration missions based on multi-agent techniques. Some of these works focus on multi-robot exploration under communication constraints. In this paper, we propose an original way to formalize and solve this issue. Our proposal relies on distributed constraint satisfaction problems (disCSP) which are an extension of classical constraint satisfaction problems (CSP). Compared to other works, our proposal is fully distributed and guaranties the exploration of an unknown environment with maintenance of connectivity between all the members of a robots' team.
Arnaud Doniec, Noury Bouraqadi, Michael Defoort, Van Tuan Le, Serge Stinckwich
ICTAI4