Demo Data from EDBT 2026 / reviewers in the wild / expert
S. Crinier
dblp:56/617
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 |
Robot manipulation · 50% Motion planning and robot control · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.0 | 1 | 2003 | Vision and tactile sensing for real world tasks · ICRA 2003 |
Robotics › Motion planning and robot control › robot control › sensor-based control › visual servoing
robust visual servoing |
0.0 | 1 | 2003 | Vision and tactile sensing for real world tasks · ICRA 2003 |
Robotics › Robot manipulation › tactile sensing › tactile sensing for manipulation
tactile-based grasping |
0.0 | 1 | 2003 | Vision and tactile sensing for real world tasks · ICRA 2003 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.0 | 1 | 2003 | Vision and tactile sensing for real world tasks · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
tactile feedback · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Vision and tactile sensing for real world tasksabstractRobotic fetch-and-carry tasks are commonly facilitated to demonstrate a number of research directions such as navigation, mobile manipulation, systems integration, etc. As a part of an integrated system in terms of a service robot framework, this paper describes a set of methods for real-world object manipulation tasks. We concentrate here on two particular parts of a manipulation sequence: i) robust visual servoing, and ii) grasping strategies. In terms of visual servoing we discuss the handling of singularities during a manipulation sequence. For grasping, we present a biologically motivated strategy using tactile feedback. Danica Kragic, S. Crinier, Dietrich Brunn, Henrik I. Christensen |
ICRA | 2 |