EDBT 2026 Demo / reviewers in the wild / expert
Abril Alvarez Garcia
dblp:151/9287
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2014 | 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 |
0.2 | 1 | 2014 | 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 |
0.1 | 1 | 2014 | GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgery · ICRA 2014 |
Medical and health informatics
surgical robotics |
0.1 | 1 | 2014 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | GPC-based teleoperation for delay compensation and disturbance rejection in image-guided beating-heart surgeryabstractBeating-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 |
ICRA | 2 |