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Michiel Warlé

dblp:364/3461 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 3 since 2021Systems, architecture and hardware · 3 · 3 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 navigation and mapping · 77% Motion planning and robot control · 23%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
localization
0.812024
Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic Platform · ICRA 2024
Medical and health informatics › medical robotics
robot-assisted intervention
0.812024
Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic Platform · ICRA 2024
Robotics › Motion planning and robot control
teleoperation
0.212024
Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic Platform · ICRA 2024

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

x-ray fluoroscopy · 1.5rotating magnetic field control · 1.5
YearPublicationVenuePosition
2024 Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic Platform
abstract
Until now, the potential of untethered magnetic robots (UMRs), propelled by external time-periodic magnetic fields, has been hindered by the limitations of wireless manipulation systems or noninvasive imaging techniques combined. The need for simultaneous actuation and noninvasive localization imposes a strict constraint on both functionalities. This study addresses this challenge by substantiating the feasibility through experimental validation, showcasing the direct teleoperation of UMRs within a fluid-filled lumen. This teleoperation capability is facilitated by a scalable X-ray-guided robotic platform, extendable to match the dimensions required for in vivo applications, marking a noteworthy advancement. Our methodology is demonstrated by teleoperating a 12-mm-long screw-shaped UMR (5 mm in diameter) within a bifurcated lumen, filled with blood. This navigation is achieved using controlled rotating magnetic fields, guided by real-time X-ray Fluoroscopy images. Incorporating a two-degree-of-freedom control system, we demonstrate the operator’s capability to use X-ray Fluoroscopy images to keep the UMR coupled with the external field during wireless teleoperations, resulting in a success rate of 76.6% when moving along the intended pathways, with a mean absolute position error of 1.6 ± 2.1 mm.
Leendert-Jan W. Ligtenberg, Nicole C. A. Rabou, Sander Peters, Trishal Vengetela, Vincent Schut, H. Remco Liefers, Michiel Warlé, Islam S. M. Khalil
ICRA7
2024 X-Ray-Guided Magnetic Fields for Wireless Control of Untethered Magnetic Robots in Cerebral Vascular Phantoms
abstract
This paper explores the application of X-ray-guided magnetic fields for the wireless control of untethered magnetic robots (UMRs) within cerebral vascular phantoms. With a focus on addressing challenges associated with strokes and brain aneurysms, the study aims to enhance neurosurgical procedures by improving precision and maneuverability. Experimental findings showcase the feasibility and effectiveness of this innovative approach in navigating UMRs, characterized by a screw-shaped body and a ferromagnetic core, through complex vascular structures. Cone-beam computed tomography is employed to determine the tomography and provide various reference trajectories for the UMR inside the cerebral vascular phantom. Our motion control experiments show that the X-ray-guided magnetic fields enable the UMR to move along any intended path with an average success rate of 89%, allowing the UMR to move between the left and right common carotid artery to the left and right internal and external carotid artery.
Leendert-Jan W. Ligtenberg, Marcus C. J. de Boer, Iris Mulder, Roger Lomme, Dorothee Wasserberg, Emily A. M. Klein Rot, Doron Ben Ami, Udi Sadeh, H. Remco Liefers, Oded Shoseyov, Pascal Jonkheijm, Michiel Warlé, Islam S. M. Khalil
IROS12
2023 Helical Propulsion in Low-Re Numbers with Near-Zero Angle of Attack
abstract
One approach to the wireless actuation and gravity compensation of untethered helical magnetic devices (UHMD) is through swimming with a non-zero angle of attack (AoA). This configuration allows us to counteract gravity, so that for a given desired path, we can move the UHMD controllably without drifting downward under its own weight. This study seeks to investigate the use a reduced-order model of the complex 6-degrees-of-freedom model of UHMDs in low Reynolds-number regime. A one-dimensional model representing the relative position of the UHMD with respect to an actuator rotating permanent magnet is used to predict a gap which yields bounded behavior of the open-loop system. Using geometric representation of the reduced-order model, the local bounded behavior of the UHMD with near-zero AoA is attributed to periodic active magnetic suspension, which dominates near-zero AoA. Our numerical results are verified experimentally and bounded behavior of the UHMD demonstrates the capability to swim with near-zero AoA (6.3° ± 2.2°) without drifting downward. With this actuation strategy, it is unlikely that the orientation of the UHMD will be needed during noninvasive localization, making the control system dependent on only its position with respect to a prescribed trajectory. This strategy will also provide a computational advantage in adjusting the gap between the UHMD and a robotically controlled rotating permanent magnet actuator.
Leendert-Jan W. Ligtenberg, Ilse A. A. Ekkelkamp, Frank R. Halfwerk, Constantinos Goulas, Jutta Arens, Michiel Warlé, Islam S. M. Khalil
IROS6