Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chris Bedell
dblp:54/9963
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—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 |
Robot manipulation · 50% Optimization for machine learning · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
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
concentric tube robot design |
0.1 | 1 | 2011 | Design optimization of concentric tube robots based on task and anatomical constraints · ICRA 2011 |
Machine learning › Optimization for machine learning
optimization |
0.1 | 1 | 2011 | Design optimization of concentric tube robots based on task and anatomical constraints · ICRA 2011 |
Medical and health informatics › surgical robotics
minimally invasive surgery |
0.0 | 1 | 2011 | Design optimization of concentric tube robots based on task and anatomical constraints · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
optimization framework · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Design optimization of concentric tube robots based on task and anatomical constraintsabstractConcentric tube robots are a novel continuum robot technology that is well suited to minimally invasive surgeries inside small body cavities such as the heart. These robots are constructed of concentrically combined pre-curved elastic tubes to form 3D curves. Each telescopic section of the robot is either of fixed or variable curvature. One advantage of this approach is that the component tube curvatures, lengths and stiffnesses can easily be fabricated to be procedure- and patient-specific. This paper proposes an optimization framework for solving the robot design problem. Given a 3D description of the constraining anatomy, the number of fixed and variable curvature robot sections and a tip workspace description, the algorithm solves for the robot design that possesses the desired workspace, remains inside the anatomical constraints and minimizes the curvature and length of all sections. The approach is illustrated in the context of beating-heart closure of atrial septal defects. Chris Bedell, Jesse Lock, Andrew H. C. Gosline, Pierre E. Dupont |
ICRA | 1 |