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

Santosh Iyer

dblp:22/7980 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics › surgical robotics
autonomous suturing
0.212013
A single arm, single camera system for automated suturing · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.212013
A single arm, single camera system for automated suturing · ICRA 2013
Computer vision › 3D vision
pose estimation
0.012013
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
YearPublicationVenuePosition
2013 A single arm, single camera system for automated suturing
abstract
In 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
ICRA1