activity
20202026
collaborators

7 papers

eess.SY2026

Electromagnetic Micro-Guidewire Control in Large Workspaces

Jasan Zughaibi, Elia Jaggy, Valentin Gantenbein +9

Electromagnetic navigation requires sufficient actuation at clinically relevant distances due to limited magnetic volumes and coil currents. We combine real-time pose feedback with…

cs.RO2026

Learning Dynamic Swing-Up of an Inverted Pendulum using Remote Magnetic Actuation

Viacheslav Sydora, Jasan Zughaibi, Denis von Arx +2

Electromagnetic Navigation Systems (eMNS) have gained considerable attention for minimally invasive surgery and targeted drug delivery. While most of the literature relies on quasi…

eess.SY2026

Structured Learning for Electromagnetic Field Modeling and Real-Time Inversion

Antonio Bernardes, Jasan Zughaibi, Michael Muehlebach +1

Precise magnetic field modeling is fundamental to the closed-loop control of electromagnetic navigation systems (eMNS) and the analytical Multipole Expansion Model (MPEM) is the cu…

eess.SY2025

Remote Magnetic Levitation Using Reduced Attitude Control and Parametric Field Models

Neelaksh Singh, Jasan Zughaibi, Denis von Arx +2

Electromagnetic navigation systems (eMNS) are increasingly used in minimally invasive procedures such as endovascular interventions and targeted drug delivery due to their ability…

cs.RO2025

Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control

Jasan Zughaibi, Denis von Arx, Maurus Derungs +5

Electromagnetic navigation systems (eMNS) enable a number of magnetically guided surgical procedures. A challenge in magnetically manipulating surgical tools is that the effective…

eess.SY2024

Dynamic Electromagnetic Navigation

Jasan Zughaibi, Bradley J. Nelson, Michael Muehlebach

Magnetic navigation offers wireless control over magnetic objects, which has important medical applications, such as targeted drug delivery and minimally invasive surgery. Magnetic…

cs.RO2020

A Fast and Reliable Pick-and-Place Application with a Spherical Soft Robotic Arm

Jasan Zughaibi, Matthias Hofer, Raffaello D'Andrea

This paper presents the application of a learning control approach for the realization of a fast and reliable pick-and-place application with a spherical soft robotic arm. The arm…