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Michael Spreng

dblp:15/6692 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—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
Motion planning and robot control · 87% Robot manipulation · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning
0.011991
Dealing with unexpected situations during the execution of robot motions · ICRA 1991
Robotics › Motion planning and robot control › motion planning
motion planning under uncertainty
0.011991
Dealing with unexpected situations during the execution of robot motions · ICRA 1991
Robotics › Robot manipulation › tactile sensing › contact sensing
contact detection
0.011991
Dealing with unexpected situations during the execution of robot motions · ICRA 1991

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

test motions · 0.0situation analyzer · 0.0hypothesis testing · 0.0
YearPublicationVenuePosition
1991 Dealing with unexpected situations during the execution of robot motions
abstract
The problem of a polygonal object moving in an uncertain polygonal environment, i.e. the positions and orientations of the objects relative to each other are not exactly known, is addressed. Furthermore, the moving object does not move exactly as it is commanded to move. Due to these uncertainties, even a motion generated by a correct motion planner may fail, i.e. for instance, an unexpected contact may occur. A situation analyzer that enables the moving object to acquire information on a contact situation is presented. This analyzer uses the nominal world model including information on the magnitude of the uncertainties in order to get hypotheses on the geometric entities involved in the contact. The discrimination among the hypotheses is based on test motions, i.e. motions whose feasibility depends on the validity of a certain subset of the hypotheses.>
Michael Spreng
ICRA1