Demo Data from EDBT 2026 / reviewers in the wild / expert
Naohiro Hiraoka
dblp:126/5193
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 |
Multi-agent systems · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
distributed robotic systems |
0.0 | 1 | 1996 | Deadlock resolution in distributed autonomous robotic system with hand-to-hand motion · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Deadlock resolution in distributed autonomous robotic system with hand-to-hand motionabstractThis paper deals with an approach for resolving deadlock conditions in the case of carrying loads by distributed autonomous robotic system such as the cellular robotic system (CEBOT). Deadlock condition occurs when a large number of robots carry loads autonomously. Therefore, we propose to introduce cooperative hand-to-hand motion into the distributed autonomous robotic system to resolve the deadlock conditions using only partial local information. Through the simulation results, we show the effectiveness of hand-to-hand motion and consider influences of environmental characteristics. Toshio Fukuda, Hidenori Ishihara, Naohiro Hiraoka |
ICRA | 3 |