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Katharina Hoffmann

dblp:07/6915 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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
Planning, search and constraint satisfaction · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › agent planning
action planning
0.012000
Application of Automatic Action Planning for Several Work Cells to the German ETS-VII Space Robotics Experiments · ICRA 2000
Virtual and augmented reality
teleoperation
0.012000
Application of Automatic Action Planning for Several Work Cells to the German ETS-VII Space Robotics Experiments · ICRA 2000
Virtual and augmented reality › teleoperation
VR-based robot control
0.012000
Application of Automatic Action Planning for Several Work Cells to the German ETS-VII Space Robotics Experiments · ICRA 2000

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

virtual reality · 0.1action planning · 0.1
YearPublicationVenuePosition
2000 Application of Automatic Action Planning for Several Work Cells to the German ETS-VII Space Robotics Experiments
abstract
Experiences in space robotics show, that the user normally has to cope with a huge amount of data. So, only robot and mission specialists are able to control the robot arm directly in teleoperation mode. By means of an intelligent robot control in cooperation with virtual reality methods, it is possible for non-robot specialists to generate tasks for a robot or an automation component intuitively. Furthermore, the intelligent robot control improves the safety of the entire system. The on-ground robot control and command station for the robot arm ERA onboard the satellite ETS-VII builds on a new resource-based action planning approach to manage robot manipulators and other automation components. In the case of ERA, the action planning system also takes care of the "real" robot onboard the satellite and the "virtual" robot in the simulation system. By means of the simulation system, the user can plan tasks ahead as well as analyze and visualize different strategies. The paper describes the mechanism of resource-based action planning, its application to different work cells, the practical experiences gained from the implementation for the on-ground robot control and command station for the robot arm ERA developed in the GETEX project as well as the services it provides to support VR-based man machine interfaces.
Eckhard Freund, Katharina Hoffmann, Jürgen Roßmann
ICRA2