Demo Data from EDBT 2026 / reviewers in the wild / expert
Yasuyuki Kihara
dblp:31/7735
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 |
Generative modeling · 44% Motion planning and robot control · 44% Robot manipulation · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › sensor-based control
sensory feedback control |
0.1 | 1 | 2009 | Synthesizing a desired trajectory and sensory feedback control laws for an origami-folding robot based on the statistical characteristics of direct teaching by a human · ICRA 2009 |
Machine learning › Generative modeling › motion generation
trajectory synthesis |
0.1 | 1 | 2009 | Synthesizing a desired trajectory and sensory feedback control laws for an origami-folding robot based on the statistical characteristics of direct teaching by a human · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
statistical learning from demonstration · 0.1direct teaching · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Synthesizing a desired trajectory and sensory feedback control laws for an origami-folding robot based on the statistical characteristics of direct teaching by a humanabstractIn this paper, a novel method to synthesize a desired trajectory and sensory feedback control laws for robots based on the statistical characteristics of direct teaching data by a human is proposed. This work was motivated by a poor performance of an origami-folding robot developed by the authors. Since the robot simply replayed a given trajectory without sensory feedback control, it often failed in folding due to the fluctuation of origami paper behaviors. Kenta Tanaka, Yasuyuki Kihara, Yasuyoshi Yokokohji |
ICRA | 2 |