Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sam Ann Rahok
dblp:44/9506 · also Rahok Yokokawa Sam Ann
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2011
0000-0002-4462-4064ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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 |
Robot navigation and mapping · 67% Motion planning and robot control · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
localization |
0.1 | 1 | 2011 | Play-back navigation for outdoor mobile robot using trajectory tracking based on environmental magnetic field · ICRA 2011 |
Robotics › Robot navigation and mapping › localization › signal-based localization
magnetic localization |
0.1 | 1 | 2011 | Play-back navigation for outdoor mobile robot using trajectory tracking based on environmental magnetic field · ICRA 2011 |
Robotics › Motion planning and robot control › robot control
trajectory tracking |
0.1 | 1 | 2011 | Play-back navigation for outdoor mobile robot using trajectory tracking based on environmental magnetic field · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
magnetic sensing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Play-back navigation for outdoor mobile robot using trajectory tracking based on environmental magnetic fieldabstractThis paper presents a play-back navigation for outdoor mobile robots using trajectory tracking method based on environmental magnetic field. Two 3-axis magnetic sensors with horizontal xy-axes opposed to each other, are used to scan magnetic field occurred in the environment to build two different magnetic databases during the teaching stage. In the play-back navigation, the robot rotates 180 degrees and then uses one among the two magnetic sensors readings to perform trajectory tracking based on the magnetic database of another magnetic sensor. The experimental results show that the robot is able to perform the play-back navigation with a reliable accuracy. Sam Ann Rahok, Koichi Ozaki |
ICRA | 1 |
| 2010 | Trajectory tracking using environmental magnetic field for outdoor autonomous mobile robotsabstractThis paper describes a trajectory tracking method using environmental magnetic field for outdoor autonomous mobile robots. In this research, a 3-axis magnetic sensor is used to scan DC magnetic field in the outdoor environment to build a database. The robot then performs trajectory tracking based on the database. The experimental results show that by applying the proposed method the robot is possibly able to navigate in the outdoor environment with a reliable accuracy. Sam Ann Rahok, Yoshihito Shikanai, Koichi Ozaki |
IROS | 1 |