Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yeo Jung Yoon
dblp:246/7667
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 87% Robot manipulation · 13% | |
| Computer graphics and multimedia
1 paper |
Computational fabrication · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › trajectory planning
collision-free trajectory generation |
0.4 | 1 | 2019 | A Robotic Cell for Multi-Resolution Additive Manufacturing · ICRA 2019 |
Robotics › Motion planning and robot control
motion planning |
0.4 | 1 | 2019 | A Robotic Cell for Multi-Resolution Additive Manufacturing · ICRA 2019 |
Computational fabrication
additive manufacturing |
0.4 | 1 | 2019 | A Robotic Cell for Multi-Resolution Additive Manufacturing · ICRA 2019 |
Robotics › Robot manipulation › robot manipulator
dual-arm manipulator |
0.1 | 1 | 2019 | A Robotic Cell for Multi-Resolution Additive Manufacturing · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
part decomposition · 0.8non-planar layer generation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | A Robotic Cell for Multi-Resolution Additive ManufacturingabstractExtrusion-based additive manufacturing (AM), also known as fused deposition modeling (FDM) extrudes filaments through a heated nozzle and builds a part layer-by-layer. Using a smaller diameter nozzle can achieve better surface finish. However, there is a trade-off between surface finish and build times as using a small diameter nozzle leads to smaller layer thickness and long build times. Traditional FDM printers create a part with planar layers, and this restricts control over fiber orientations. This paper presents a robotic cell for multi-resolution AM. The cell consists of two 6 degrees of freedom (DOF) robot manipulators capable of printing non-planar and/or planar layers. We describe algorithms for decomposing parts into multi-resolution layers and generating collision-free trajectories for the robot manipulators. We validate our approach by printing five parts with multi-resolution. Prahar M. Bhatt, Ariyan M. Kabir, Rishi K. Malhan, Brual C. Shah, Aniruddha V. Shembekar, Yeo Jung Yoon, Satyandra K. Gupta |
ICRA | 6 |