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Abhishek Sudhir

dblp:67/1092 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational steering
0.012000
Computational Steering in Simulation of Manufacturing Systems · ICRA 2000

Methods — techniques the papers use, named apart from their topics

interactive virtual environment · 0.1discrete-event simulation · 0.0discrete event simulation · 0.0
YearPublicationVenuePosition
2000 Computational Steering in Simulation of Manufacturing Systems
abstract
Traditional steps in a discrete event manufacturing simulation are to prepare input variables, select simulation parameters, run the simulation and review the results after the execution is completed. The main drawback in such systems is that complex "what if scenario" analysis would require several simulation cycles before they divulge interesting or valuable information. In an approach proposed here, we have utilized computational steering concepts along with an interactive virtual environment to obtain results of a manufacturing simulation on the fly thus allowing quick changes and instant feedback from the system. A simple conceptual system was implemented to study this approach. Initial results have provided several interesting observations.
Thenkurussi Kesavadas, Abhishek Sudhir
ICRA2