15 papers
Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning
Ghadeer Elmkaiel, Michael Muehlebach
The development and testing of advanced aerial robots require experiments in controlled environments with tailored airflow profiles. This paper presents an online learning algorith…
Foundations of Reinforcement Learning and Control:Connections and New Perspectives
Claire Vernade, Onno Eberhard, Martha White +4
Reinforcement learning and control theory are two adjacent scientific fields that focus on optimizing the controller of unknown dynamical systems using feedback. While both fields…
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…
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…
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…
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…