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S. V. Eliseev

dblp:122/3319 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 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
Robot manipulation · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation
0.011991
Contribution to the load capacity estimation for interacting manipulators coupled via a common object · ICRA 1991
Mathematical optimization
linear programming
0.011991
Contribution to the load capacity estimation for interacting manipulators coupled via a common object · ICRA 1991

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

linear programming · 0.0
YearPublicationVenuePosition
2012 About Creating Intelligence Systems in Ternary Logic
I. A. Bessmertny, S. V. Eliseev, A. V. Nevidimov
KEOD2
1991 Contribution to the load capacity estimation for interacting manipulators coupled via a common object
abstract
In the design of controlled manipulators, an important role is played by estimates of their mechanical properties, primarily the load capacity. The authors investigate, in a fixed configuration, the static load capacity of a system of manipulators transporting a common object. The problem of determining the load capacity is reduced to a general problem of linear programming whose solution can be obtained by using well-known numerical methods of optimization. On the basis of such a formalization of the problem, the lower and upper estimates of the load capacity are obtained. An analytic example is presented. Some comments on improving the methods of calculating the load capacity are made.>
Mikhail M. Svinin, S. V. Eliseev
ICRA2