Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rohan Chitale
dblp:310/7719
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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 |
3D vision · 62% Motion planning and robot control · 19% Robot manipulation · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
pose estimation |
0.7 | 1 | 2023 | Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image Feedback · ICRA 2023 |
Robotics › Robot manipulation › medical robotics
catheter steering |
0.2 | 1 | 2023 | Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image Feedback · ICRA 2023 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2023 | Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image Feedback · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
kinematics reconstruction · 0.7bi-plane image feedback · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image FeedbackabstractSmall catheters undergo significant torsional deflections during endovascular interventions. A key challenge in enabling robot control of these catheters is the estimation of their bending planes. This paper considers approaches for estimating these bending planes based on bi-plane image feedback. The proposed approaches attempt to minimize error between either the direct (position-based) or instantaneous (velocity-based) kinematics with the reconstructed kinematics from bi-plane image feedback. A comparison between these methods is carried out on a setup using two cameras in lieu of a bi-plane fluoroscopy setup. The results show that the position-based approach is less susceptible to segmentation noise and works best when the segment is in a non-straight configuration. These results suggest that estimation of the bending planes can be accompanied with errors under 30°. Considering that the torsional buildup of these catheters can be more than 180°, we believe that this method can be used for catheter control with improved safety due to the reduction of this uncertainty. Jared Lawson, Rohan Chitale, Nabil Simaan |
ICRA | 2 |