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Satoshi Chaen

dblp:88/7043 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › traversability estimation
terrain traversability
0.012004
Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model · ICRA 2004
Robotics › Robot navigation and mapping
traversability estimation
0.012004
Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model · ICRA 2004
Robotics › Robot navigation and mapping
terrain modeling
0.012004
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
YearPublicationVenuePosition
2004 Evaluation of Traversability of Wheeled Mobile Robots on Uneven Terrains by Fractal Terrain Model
abstract
In 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
ICRA2