Ognjen Petrovic

dblp:83/6240 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 · 91% Motion planning and robot control · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
cooperative mobile robots
0.112008
Cluster space specification and control of a 3-robot mobile system · ICRA 2008
Knowledge, reasoning and agents › Multi-agent systems
formation control
0.112008
Cluster space specification and control of a 3-robot mobile system · ICRA 2008
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.112008
Cluster space specification and control of a 3-robot mobile system · ICRA 2008
Robotics › Motion planning and robot control › robot control › trajectory tracking
trajectory control
0.012008
Cluster space specification and control of a 3-robot mobile system · ICRA 2008

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

kinematic modeling · 0.1closed-loop control · 0.1
YearPublicationVenuePosition
2008 Cluster space specification and control of a 3-robot mobile system
abstract
The cluster space control technique promotes simplified specification and monitoring of the motion of mobile multi-robot systems of limited size. Previous work has established the conceptual foundation of this approach and has experimentally verified and validated its use for two diverse 2- robot systems and with varying implementations ranging from automated trajectory control to human-in-the-loop piloting. In this paper, we present the cluster space control of a 3-robot system. In doing so, we develop the fundamental kinematic relationships, illustrate the closed-loop control framework, describe the simulation and hardware testbed environments used for verification, and present initial experimental results of the successfully implemented system.
Ignacio Mas, Ognjen Petrovic, Christopher Kitts
ICRA2