2018
DOI: 10.1115/1.4041333
|View full text |Cite
|
Sign up to set email alerts
|

Micro-Assembly Sequence and Path Planning Using Subassemblies

Abstract: This paper presents a novel assembly sequence planning (ASP) procedure utilizing a subassembly based search algorithm (SABLS) for micro-assembly applications involving geometric and other assembly constraints. The breakout local search (BLS) algorithm is adapted to provide sequencing solutions in assemblies with no coherent solutions by converting the final assembly into subassemblies which can be assembled together. This is implemented using custom-made microparts which fit together only in a predefined fashi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…A similar closed-loop control strategy is presented in [46] in which the 3D CAD is also used to present a complete description of the observed scene, including the effects of occlusion, for a 6-DOF tracking in real time. The works of Venkatesan et al [47] and Venkatesan and Cappelleri [48] are based on sub-assembly sequence generation to find each optimal trajectory by a learned algorithm. Kim et al [49] present a dexterous and fast micro-hand (1 mm/s) system used for a high-speed (100-μm spheres in 800 ms and 1.54 mm in 13 s) and precise assembly method at a large distance (13 mm) by implementing automatic releasing and error recovery system.…”
Section: Autonomous Systems For Assembly Operationsmentioning
confidence: 99%
“…A similar closed-loop control strategy is presented in [46] in which the 3D CAD is also used to present a complete description of the observed scene, including the effects of occlusion, for a 6-DOF tracking in real time. The works of Venkatesan et al [47] and Venkatesan and Cappelleri [48] are based on sub-assembly sequence generation to find each optimal trajectory by a learned algorithm. Kim et al [49] present a dexterous and fast micro-hand (1 mm/s) system used for a high-speed (100-μm spheres in 800 ms and 1.54 mm in 13 s) and precise assembly method at a large distance (13 mm) by implementing automatic releasing and error recovery system.…”
Section: Autonomous Systems For Assembly Operationsmentioning
confidence: 99%