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Jürgen Acker

dblp:45/455 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 1 · 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
Robot manipulation · 93% Motion planning and robot control · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › contact modeling
contact state modeling
0.112005
Manipulation of Deformable Linear Objects: From Geometric Model Towards Program Generation · ICRA 2005
Robotics › Robot manipulation › contact-rich manipulation
contact state transition detection
0.112005
Manipulation of Deformable Linear Objects: From Geometric Model Towards Program Generation · ICRA 2005
Robotics › Robot manipulation › deformable object manipulation
deformable linear object manipulation
0.112005
Manipulation of Deformable Linear Objects: From Geometric Model Towards Program Generation · ICRA 2005
Robotics › Robot manipulation
deformable object manipulation
0.112005
Manipulation of Deformable Linear Objects: From Geometric Model Towards Program Generation · ICRA 2005

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

virtual reality simulation · 0.1geometric modeling · 0.1
YearPublicationVenuePosition
2005 Manipulation of Deformable Linear Objects: From Geometric Model Towards Program Generation
abstract
This paper discusses the handling of deformable linear objects (DLOs), such as hoses, wires, or leaf springs in a polyhedral environment. It investigates the formulation of assembly or disassembly tasks based on contact states. The result is an approach that facilitates the automatic extraction of robot programs from demonstrations in virtual reality and provides a base for the parameterization of detection algorithms. For this purpose, a contact state model for the description of assembly or disassembly tasks of DLOs is presented. It is described how the contact states can be derived from a geometric model of both the DLO and the environment. Such a model may be obtained by a simulation of the manipulation tasks in virtual reality. Further, the possible transitions between the contact states are classified into general transition classes. Those transition classes enable the selection of algorithms to detect such contact state transitions.
Jürgen Acker, Dominik Henrich
ICRA1