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Jean-Phillipe Malric

dblp:84/4553 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 77% Motion planning and robot control · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › collective behavior › swarm behavior › collective motion
flocking
0.112005
Shepherding Behaviors with Multiple Shepherds · ICRA 2005
Robotics › Motion planning and robot control
multi-robot control
0.012005
Shepherding Behaviors with Multiple Shepherds · ICRA 2005

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

simulation · 0.1
YearPublicationVenuePosition
2005 Shepherding Behaviors with Multiple Shepherds
abstract
Shepherding behaviors are a type of group be haviors in which one group (the shepherds) tries to control the motion of another group (the flock). Shepherding behaviors can be found in many forms in nature and have various important robotic applications. In this paper we extend our previous work of shepherding behaviors with a single shepherd to multiple shepherds. More specifically, we study how a group of shepherds can work cooperatively without communication to efficiently control the flock.
Jyh-Ming Lien, Samuel Rodríguez, Jean-Phillipe Malric, Nancy M. Amato
ICRA3