most citedGray-Box Nonlinear Feedback Optimization

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cs.RO2026

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…

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…

cs.RO2026

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…

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…

cs.RO2025

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…

cs.RO2025

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…