Evan J. Butler

dblp:36/7735 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 3 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 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
3 papers
Motion planning and robot control · 62% Robot manipulation · 38%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Medical and health informatics · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%

Topics — the 13 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
microelectromechanical systems
0.112011
Metal MEMS tools for beating-heart tissue approximation · ICRA 2011
Robotics › Motion planning and robot control › robot control › flexible robot control
concentric tube robot control
0.112010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Robotics › Robot manipulation › medical robotics
concentric tube robot design
0.112010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Robotics › Robot manipulation
continuum robot
0.112010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Robotics › Motion planning and robot control › robot kinematics
kinematic modeling
0.112010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Robotics › Motion planning and robot control
robot control
0.112010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Robotics › Motion planning and robot control
robot kinematics
0.112009
Torsional kinematic model for concentric tube robots · ICRA 2009
Medical and health informatics › medical robotics
concentric tube robot
0.112009
Torsional kinematic model for concentric tube robots · ICRA 2009
Medical and health informatics
medical robotics
0.112009
Torsional kinematic model for concentric tube robots · ICRA 2009
Medical and health informatics › surgical robotics
steerable needle
0.112009
Torsional kinematic model for concentric tube robots · ICRA 2009
Robotics › Robot manipulation › continuum robot
concentric tube robot
0.012011
Metal MEMS tools for beating-heart tissue approximation · ICRA 2011
Medical and health informatics › surgical robotics
minimally invasive surgery
0.012010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010
Medical and health informatics
surgical robotics
0.012010
Design and Control of Concentric-Tube Robots · IEEE Trans. Robotics 2010

Methods — techniques the papers use, named apart from their topics

metal MEMS fabrication · 0.2concentric tube robot design · 0.2tube bending and torsion model · 0.2kinematic modeling · 0.2snap-through instability analysis · 0.2mechanics modeling · 0.2differential equations · 0.2
YearPublicationVenuePosition
2012 Robotic neuro-emdoscope with concentric tube augmentation
abstract
Surgical robots are gaining favor in part due to their capacity to reach remote locations within the body. Continuum robots are especially well suited for accessing deep spaces such as cerebral ventricles within the brain. Due to the entry point constraints and complicated structure, current techniques do not allow surgeons to access the full volume of the ventricles. The ability to access the ventricles with a dexterous robot would have significant clinical implications. This paper presents a concentric tube manipulator mated to a robotically controlled flexible endoscope. The device adds three degrees of freedom to the standard neuroendoscope and roboticizes the entire package allowing the operator to conveniently manipulate the device. To demonstrate the improved functionality, we use an in-silica virtual model as well as an ex-vivo anatomic model of a patient with a treatable form of hydrocephalus. In these experiments we demonstrate that the augmented and roboticized endoscope can efficiently reach critical regions that a manual scope cannot.
Evan J. Butler, Robert Hammond-Oakley, Szymon Chawarski, Andrew H. C. Gosline, Patrick J. Codd, Tomer Anor, Joseph R. Madsen, Pierre E. Dupont, Jesse Lock
IROS1
2011 Metal MEMS tools for beating-heart tissue approximation
abstract
Achieving superior outcomes through the use of robots in medical applications requires an integrated approach to the design of the robot, tooling and the procedure itself. In this paper, this approach is applied to develop a robotic technique for closing abnormal communication between the atria of the heart. The goal is to achieve the efficacy of surgical closure as performed on a stopped, open heart with the reduced risk and trauma of a beating-heart catheter-based procedure. In the proposed approach, a concentric tube robot is used to percutaneously access the right atrium and deploy a tissue approximation device. The device is constructed using a metal MEMS fabrication process and is designed to both fit the manipulation capabilities of the robot as well as to reproduce the beneficial features of surgical closure by suture. Experimental results demonstrate device efficacy through manual in-vivo deployment and bench-top robotic deployment.
Evan J. Butler, Chris Folk, Adam Cohen, Nikolay V. Vasilyev, Richard T. Chen, Pedro J. del Nido, Pierre E. Dupont
ICRA1
2010 Design and Control of Concentric-Tube Robots
abstract
A novel approach toward construction of robots is based on a concentric combination of precurved elastic tubes. By rotation and extension of the tubes with respect to each other, their curvatures interact elastically to position and orient the robot's tip, as well as to control the robot's shape along its length. In this approach, the flexible tubes comprise both the links and the joints of the robot. Since the actuators attach to the tubes at their proximal ends, the robot itself forms a slender curve that is well suited for minimally invasive medical procedures. This paper demonstrates the potential of this technology. Design principles are presented and a general kinematic model incorporating tube bending and torsion is derived. Experimental demonstration of real-time position control using this model is also described.
Pierre E. Dupont, Jesse Lock, Brandon Itkowitz, Evan J. Butler
IEEE Trans. Robotics4
2009 Torsional kinematic model for concentric tube robots
abstract
A recent approach to steerable needle design is based on combining pre-curved tubes concentrically. By rotating and extending the tubes with respect to each other, the position and orientation of the needle tip, as well as the shape of the inserted length, can be controlled. Prior models neglected torsional twisting in the curved portions of the tubes. This paper presents a mechanics model that includes torsion, applies to any number of tubes and allows curvature and stiffness to vary with arc length. While the general model is comprised of differential equations, an analytic solution is given for two tubes of constant curvature. This solution enables analytic prediction of "snap through" instability based on a single dimensionless parameter. Simulation and experiments are used to illustrate the results.
Pierre E. Dupont, Jesse Lock, Evan J. Butler
ICRA3