Demo Data from VLDB 2026 / reviewers in the wild / expert
Santosh Iyer
dblp:22/7980
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 |
Motion planning and robot control · 44% Robot manipulation · 44% 3D vision · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › medical robotics › surgical robotics
autonomous suturing |
0.2 | 1 | 2013 | A single arm, single camera system for automated suturing · ICRA 2013 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2013 | A single arm, single camera system for automated suturing · ICRA 2013 |
Computer vision › 3D vision
pose estimation |
0.0 | 1 | 2013 | A single arm, single camera system for automated suturing · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
visual tracking · 0.2elliptical pose measurement · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | A single arm, single camera system for automated suturingabstractIn this paper, a novel approach for automated suturing is introduced and experimental results are presented. Unlike other similar works, the proposed approach adopts a single arm to implement a suturing task with a standard laparoscopic needle holder and curved suture needle. 3D information is obtained from a clinical (single camera) endoscope through an elliptical/circular pose measurement algorithm, which dynamically tracks the suture needle and surface markers. This drives robotic needle steering through a set of surgeon-defined entry/exit points on a tissue pad phantom. Implementation results indicate good depth resolution (1.5mm) and task repeatability (85%) for a variety of consistency, lighting, and location variation scenarios. Santosh Iyer, Thomas Looi, James M. Drake |
ICRA | 1 |