Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sangeun Choi

dblp:24/6716 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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.

Computer graphics and multimedia
2 papers
Computational fabrication · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
additive manufacturing
0.122001
Development of a Sheet-Based Material Handling System for Layered Manufacturing · ICRA 2001
Design and Evaluation of a Laser-Cutting Robot for Laminated, Solid Freeform Fabrication · ICRA 2000
Robotics › Robot manipulation
robot design
0.012000
Design and Evaluation of a Laser-Cutting Robot for Laminated, Solid Freeform Fabrication · ICRA 2000
Computational fabrication › additive manufacturing
laminated object manufacturing
0.012000
Design and Evaluation of a Laser-Cutting Robot for Laminated, Solid Freeform Fabrication · ICRA 2000
Computational fabrication
computer-aided manufacturing
0.012001
Development of a Sheet-Based Material Handling System for Layered Manufacturing · ICRA 2001

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

kinematic analysis · 0.1design characterization · 0.1
YearPublicationVenuePosition
2001 Development of a Sheet-Based Material Handling System for Layered Manufacturing
abstract
Computer-aided manufacturing of laminated engineering materials (CAM-LEM), developed at Case Western Reserve University, is a layered-manufacturing approach utilizing automated stacking of parts laser-cut from sheet materials. This paper presents the design of a material-handling system and its integration with a modular laser-cutting system, completing the most recent version of CAM-LEM. Our material-handling system is required to: transfer individual sheets from at least three material stacks to the cutting table of the laser-cutting system; extract single-layer, laser-cut parts from the cutting table; and stack the parts onto a vertical-stack assembly, resulting in fabrication of a 3D object. Design philosophy, details, and stacking performance measurements of the constructed system are presented. It is shown that the resulting system is capable of assembling objects within a 150 mm cube with an assembly precision of approximately 0.050 mm. Further, the assembly operations are relatively fast, so that part build rates are limited primarily by the laser cutter.
Sangeun Choi, Wyatt S. Newman
ICRA2
2000 Design and Evaluation of a Laser-Cutting Robot for Laminated, Solid Freeform Fabrication
abstract
Computer-aided manufacturing of laminated engineering material (CAM-LEM) is a form of solid freeform fabrication involving feeding, cutting and stacking of sheet materials to form 3D objects. To improve build rates and surface finish, it is desired to cut layers of an object from relatively thick sheets with consideration of tangent angles about each layer's perimeter. Design of the cutting system is key to the success of this approach, since speed and accuracy must be high. This paper describes the evolution of our laser-cutting system from a 5-axis design with stationary optics to a 4-axis design with articulated optics. Detailed analysis and characterization of the competing designs shows that the 4-axis design offers an improvement in both speed and precision.
Sangeun Choi, Wyatt S. Newman
ICRA1