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John Peltekis

dblp:38/1678 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—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
Robot manipulation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dual-arm manipulation
0.012004
Modeling and Dual Arm Manipulation of a Flexible Object · ICRA 2004
Robotics › Robot manipulation › deformable object manipulation
flexible object manipulation
0.012004
Modeling and Dual Arm Manipulation of a Flexible Object · ICRA 2004
Robotics › Robot manipulation
grasping
0.012004
Modeling and Dual Arm Manipulation of a Flexible Object · ICRA 2004
Robotics › Robot manipulation › grasping
grasp stability
0.012004
Modeling and Dual Arm Manipulation of a Flexible Object · ICRA 2004
Robotics › Robot manipulation › contact modeling
rolling contact
0.012004
Modeling and Dual Arm Manipulation of a Flexible Object · ICRA 2004

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

feedback control · 0.0dynamic modeling · 0.0
YearPublicationVenuePosition
2004 Modeling and Dual Arm Manipulation of a Flexible Object
abstract
This paper discusses the problem of modeling a flexible object manipulated by a dual arm system with rolling contacts. The dynamic model of the flexible object is simplified by considering as flexible coordinates the maximum deformation at each contact and assuming that the mass transfer due to deformation can be modeled by two aggregated masses that are deformation dependent and move with the maximum deformation velocity. The overall system kinematics and dynamics are derived. Simple feedback control solutions for stable grasp and regulation of the object's position and orientation proposed for rigid object control are used and shown to achieve the desired state. Simulation results are presented.
Zoe Doulgeri, John Peltekis
ICRA2