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Jillian M. Oliveira

dblp:135/8455 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
continuum robot
0.212013
Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013
Robotics › Robot manipulation
robot sensing
0.212013
Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.012013
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
0.012013
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
YearPublicationVenuePosition
2013 Two-axis bend sensor design, kinematics and control for a continuum robotic endoscope
abstract
Angular 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
ICRA2