Demo Data from SIGIR 2026 / reviewers in the wild / expert
Satoshi Chaen
dblp:88/7043
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 navigation and mapping · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › traversability estimation
terrain traversability |
0.0 | 1 | 2004 | Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model · ICRA 2004 |
Robotics › Robot navigation and mapping
traversability estimation |
0.0 | 1 | 2004 | Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model · ICRA 2004 |
Robotics › Robot navigation and mapping
terrain modeling |
0.0 | 1 | 2004 | Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
fractional brownian motion · 0.0computer simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain ModelabstractIn this paper, we propose a simulation model of uneven terrains based on fractional Brownian motions (fBm) for evaluating traversatility of mobile robots. Using fBm model, one can generate various terrain models by changing only two parameters. We modeled two different terrains by using fBm and checked statistical traversability of a robot with different wheel sizes and body configurations in computer simulation. To validate the effectiveness of the fBm model, we conducted real experiments with a wheeled mobile robot. Probabilities that the robot can travel a certain distance well agreed with the simulation results. Yasuyoshi Yokokohji, Satoshi Chaen, Tsuneo Yoshikawa |
ICRA | 2 |