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Abril Alvarez Garcia

dblp:151/9287 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Motion planning and robot control · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.212014
GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery · ICRA 2014
Robotics › Motion planning and robot control › robot control › human-in-the-loop control
teleoperation control
0.212014
GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery · ICRA 2014
Medical and health informatics › surgical robotics
beating heart surgery
0.112014
GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery · ICRA 2014
Medical and health informatics
surgical robotics
0.112014
GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery · ICRA 2014

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

generalized predictive control · 0.4disturbance rejection · 0.4delay compensation · 0.4
YearPublicationVenuePosition
2014 GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery
abstract
Beating-heart surgery is not currently possible for most surgical procedures as it requires superhuman skill to manually track the heart's motion while performing a surgical task. However, if a surgical tool could track the motion of the point of interest (POI) on the heart, then, with respect to the surgical tool tip the POI would appear stationary. Such a system can be created with a teleoperated surgical robot that is controlled to track the combination of the heart's and the surgeon's motion, as input through a separate user console. To develop such a system, the motion of the heart is found in ultrasound images where the image acquisition introduces delays of approximately 40 ms and image processing further increases this delay. Directly using this delayed position measurement in the feedback control loop can lead to instability and poor tracking. The generalized predictive controller used in this work compensates for this time delay despite large disturbances with velocities up to 210 mm/s and accelerations up to 3800 mm/s2caused by the moving heart.
Meaghan Bowthorpe, Abril Alvarez Garcia, Mahdi Tavakoli
ICRA2