Demo Data from EDBT 2026 / reviewers in the wild / expert
Tien-Sung Chio
dblp:16/867
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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 2 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
multi-robot team |
0.0 | 1 | 2003 | Rules and control strategies of multi-robot team moving in hierarchical formation · ICRA 2003 |
Knowledge, reasoning and agents › Multi-agent systems
formation control |
0.0 | 1 | 2003 | Rules and control strategies of multi-robot team moving in hierarchical formation · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
hybrid architecture · 0.0control law derivation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Multi-Agent Online Work Dispatching Control for a Multi-Facility Manufacturing SystemabstractIn this paper, we formulate the multi-facility dispatching problems as a discrete event modular feedback control problem which is based on a thorough mathematical structure. A simulation experiment shows that our proposed real-time state feedback control scheme improves the multi-facility manufacturing system performance in terms a measure of order lateness. Yenming J. Chen, Tien-Sung Chio |
SMC | 2 |
| 2003 | Rules and control strategies of multi-robot team moving in hierarchical formationabstractThe main objective of this paper is to study the control problems for a multi-robot team moving in hierarchical formation. We formulate the problem as a chart by the four-tier hybrid architecture. We devise rules to form a realizable hierarchical formation. Four control laws are derived to achieve the formation patterns. The proposed control laws are suitable for the on-line, real-time formation tasks. Simulation result shows the efficacy of the approaches. Tien-Sung Chio, Tzyh Jong Tarn |
ICRA | 1 |