Demo Data from EDBT 2026 / reviewers in the wild / expert
Jillian M. Oliveira
dblp:135/8455
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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 |
Robot manipulation · 77% Motion planning and robot control · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
continuum robot |
0.2 | 1 | 2013 | Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013 |
Robotics › Robot manipulation
robot sensing |
0.2 | 1 | 2013 | Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2013 | Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013 |
Robotics › Motion planning and robot control › manipulator control
tip position control |
0.0 | 1 | 2013 | Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
kinematic simulation · 0.2carbon black filled polyurethane sensor · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Two-axis bend sensor design, kinematics and control for a continuum robotic endoscopeabstractAngular displacement sensing and contact force sensing in robotic surgery is important for finding the conformation of the tool and for closed loop control. Current techniques for measuring large deflections, such as electromagnetic tracking, involve bulky external reference equipment. This paper discusses the design, dynamic modeling, and kinematic simulation of a compact two-axis bend sensor constructed from layers of carbon black filled polyurethane for determining the bending angle of a cable-driven continuum robotic endoscope. The sensor is flexible (10% strain), compact, and does not require external reference equipment. The sensor is able to bend in 180 degrees in all directions, produces two-axis outputs that are linear up to 120 degrees of bending and has a response time less than 9 ms. This paper explores the use of the sensor for controlling the tip position of a robotic endoscope and detecting external forces. The design outlined in this paper has many possible applications in robotic endoscopes, surgical tools, snake-like robots and soft material robotics. Jillian M. Oliveira, Ian W. Hunter |
ICRA | 2 |