Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jagdeep S. Basran
dblp:126/2776
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1997
—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-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 |
Multi-agent systems · 61% Robot manipulation · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › distributed scheduling › multi-agent scheduling
agent-based scheduling |
0.0 | 1 | 1997 | Flexible agent-based robotic assembly cell · ICRA 1997 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.0 | 1 | 1997 | Flexible agent-based robotic assembly cell · ICRA 1997 |
Robotics › Robot manipulation › robot programming
task-level programming |
0.0 | 1 | 1997 | Flexible agent-based robotic assembly cell · ICRA 1997 |
Robotics › Robot manipulation
assembly |
0.0 | 1 | 1997 | Flexible agent-based robotic assembly cell · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0agent-based decomposition · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Flexible agent-based robotic assembly cellabstractThis paper describes a flexible, coherent framework for organizing and operating a robotic assembly cell that has multiple robots. This framework, which is based on the concept of an agent as understood in the field of multiagent systems, supports the task-level programming and scheduling of assembly operations. In this framework, we decompose an assembly operation into two distinct phases: part fetching and part assembling. The agents of the cell correspond to these two assembly phases plus an agent to manage the shared physical space of the cell and an agent to properly schedule the assembly operations. The simulations and experiments with this framework are presented and discussed. Jagdeep S. Basran, Emil M. Petriu, Dorina C. Petriu |
ICRA | 1 |