1 citations · 1 across the 11 of their papers we have counts for
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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…
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…
Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization
Fang Nan, Hao Ma, Qinghua Guan +3
We present an online model-based reinforcement learning algorithm suitable for controlling complex robotic systems directly in the real world. Unlike prevailing sim-to-real pipelin…
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…
Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control
Ghadeer Elmkaiel, Syn Schmitt, Michael Muehlebach
Achieving both agile maneuverability and high energy efficiency in aerial robots, particularly in dynamic wind environments, remains challenging. Conventional thruster-powered syst…
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
Hao Ma, Sabrina Bodmer, Andrea Carron +2
Diffusion models hold great potential in robotics due to their ability to capture complex, high-dimensional data distributions. However, their lack of constraint-awareness limits t…