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Jagdeep S. Basran

dblp:126/2776 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › distributed scheduling › multi-agent scheduling
agent-based scheduling
0.011997
Flexible agent-based robotic assembly cell · ICRA 1997
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.011997
Flexible agent-based robotic assembly cell · ICRA 1997
Robotics › Robot manipulation › robot programming
task-level programming
0.011997
Flexible agent-based robotic assembly cell · ICRA 1997
Robotics › Robot manipulation
assembly
0.011997
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
YearPublicationVenuePosition
1997 Flexible agent-based robotic assembly cell
abstract
This 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
ICRA1