Demo Data from SIGIR 2026 / reviewers in the wild / expert
H. Remco Liefers
dblp:383/4450
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0006-2149-3731ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 2 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
localization |
0.8 | 1 | 2024 | 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 |
0.8 | 1 | 2024 | Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic Platform · ICRA 2024 |
Robotics › Motion planning and robot control
teleoperation |
0.2 | 1 | 2024 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Remote Control of Untethered Magnetic Robots within a Lumen using X-Ray-Guided Robotic PlatformabstractUntil 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 |
ICRA | 6 |
| 2024 | X-Ray-Guided Magnetic Fields for Wireless Control of Untethered Magnetic Robots in Cerebral Vascular PhantomsabstractThis 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 |
IROS | 9 |