Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michael Spreng
dblp:15/6692
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1991 | Dealing with unexpected situations during the execution of robot motions · ICRA 1991 |
Robotics › Motion planning and robot control › motion planning
motion planning under uncertainty |
0.0 | 1 | 1991 | Dealing with unexpected situations during the execution of robot motions · ICRA 1991 |
Robotics › Robot manipulation › tactile sensing › contact sensing
contact detection |
0.0 | 1 | 1991 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Dealing with unexpected situations during the execution of robot motionsabstractThe 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 |
ICRA | 1 |