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C. K. Shin

dblp:92/6790 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—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
Robot manipulation · 50% Motion planning and robot control · 50%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
assembly
0.011995
Dissassemblability Analysis for Generating Robotic Assembly Systems · ICRA 1995
Robotics › Motion planning and robot control
assembly planning
0.011995
Dissassemblability Analysis for Generating Robotic Assembly Systems · ICRA 1995
Computational fabrication
fixture design
0.011995
Dissassemblability Analysis for Generating Robotic Assembly Systems · ICRA 1995

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

motion instability analysis · 0.0mathematical disassemblability analysis · 0.0
YearPublicationVenuePosition
1995 Dissassemblability Analysis for Generating Robotic Assembly Systems
abstract
This paper proposes a mathematical approach to the analysis of disassemblability of a product for generating stable robotic assembly sequences. The disassemblability of a part, which represents a cost for disassembling the part from a base assembly, is derived in terms of both separability of a part from a base assembly and motion instability of the base assembly. Then, stable robotic assembly sequences are found in the list of parts, each of which is sequentially chosen to have a locally maximum disassemblability. To show the effectiveness of the proposed method, case studies are presented for industrial products. The results are compared with those of previous researches. The comparison shows that the proposed method can effectively generate stable robotic assembly sequences and provide essential informations on fixture design.
C. K. Shin, D. S. Hong, Hyung Suck Cho
ICRA1