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Doris Kugelmann

dblp:68/539 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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 · 77% Robot navigation and mapping · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.011994
Autonomous Robotic Handling Applying Sensor Systems and 3D Simulation · ICRA 1994
Robotics › Robot navigation and mapping › sensor fusion
sensor fusion for pose estimation
0.011994
Autonomous Robotic Handling Applying Sensor Systems and 3D Simulation · ICRA 1994

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

sensor fusion · 0.03d simulation · 0.0
YearPublicationVenuePosition
1994 Autonomous Robotic Handling Applying Sensor Systems and 3D Simulation
abstract
Industrial robots are not autonomous enough to cope with unexpected changes in their environment. The suitability of generated handling programs strongly depends on the locations of the objects to be handled. To deal with such problems, a system was developed at the IWB (Germany). The system consists of a mobile robot, a 3D simulation system, a sensor system and a computer which controls and coordinates all the components mentioned before. When an object is to be handled its actual position is determined by the sensor system and transferred to the simulation system. Reality and simulation are matched and the handling program of the robot is adapted to the actual situation. Finally, the handling program is transmitted to the robot control and the handling is done by the robot.>
Doris Kugelmann
ICRA1
1994 USIS-an integrated 3D-tool for planning production cells
abstract
The planning of complex production plants makes considerable demands on the planning engineer, who usually has to pursue a wide variety of often conflicting sub-objectives simultaneously. The planner confronted with this task is hampered by a lack of suitable planning tools. 3D simulation can support the design of a three-dimensional manufacturing cell. However, even with 3D simulation, the search for an optimum solution remains relatively complex, because of the large number of interactive planning procedures involved. USIS (Universal Simulation System), a graphic robot simulation package, uses largely automated procedures to support the design engineer at all important stages of planning. This contribution presents some of these procedures.>
Christoph Woenckhaus, Doris Kugelmann, Gunther Reinhart, Joachim Milberg
IROS2