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Izadyar Tamadon

dblp:201/0369 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-4613-5862ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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 · 56% Motion planning and robot control · 44%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics › surgical robotics
minimally invasive surgery
0.712023
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control
robot control
0.712023
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement · IEEE Trans. Robotics 2023
Robotics › Robot manipulation › medical robotics
surgical robotics
0.712023
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control › teleoperation
haptic teleoperation
0.212023
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control
teleoperation
0.212023
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement · IEEE Trans. Robotics 2023

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

visual servoing · 0.7hybrid forward/inverse mechanics · 0.7force observer · 0.7
YearPublicationVenuePosition
2023 Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement
abstract
Aortic valve surgery is the preferred procedure for replacing a damaged valve with an artificial one. The ValveTech robotic platform comprises a flexible articulated manipulator and surgical interface supporting the effective delivery of an artificial valve by teleoperation and endoscopic vision. This article presents our recent work on force-perceptive, safe, semiautonomous navigation of the ValveTech platform prior to valve implantation. First, we present a force observer that transfers forces from the manipulator body and tip to a haptic interface. Second, we demonstrate how hybrid forward/inverse mechanics, together with endoscopic visual servoing, lead to autonomous valve positioning. Benchtop experiments and an artificial phantom quantify the performance of the developed robot controller and navigator. Valves can be autonomously delivered with a 2.0±0.5 mm position error and a minimal misalignment of 3.4±0.9°. The hybrid force/shape observer (FSO) algorithm was able to predict distributed external forces on the articulated manipulator body with an average error of 0.09 N. FSO can also estimate loads on the tip with an average accuracy of 3.3%. The presented system can lead to better patient care, delivery outcome, and surgeon comfort during aortic valve surgery, without requiring sensorization of the robot tip, and therefore obviating miniaturization constraints.
Izadyar Tamadon, S. M. Hadi Sadati, Virginia Mamone, Vincenzo Ferrari, Christos Bergeles, Arianna Menciassi
IEEE Trans. Robotics1