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20242026
most citedData-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry

8 citations · 22 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.SY2025

Excitation of control-affine systems and Koopman error bounds

Philipp Schmitz, Lea Bold, Friedrich M. Philipp +4

The Koopman operator and extended dynamic mode decomposition (EDMD) as a data-driven technique for its approximation have attracted considerable attention as a key tool for modelin…

eess.SY2025

Efficient Collision-Avoidance Constraints for Ellipsoidal Obstacles in Optimal Control: Application to Path-Following MPC and UAVs

David Leprich, Mario Rosenfelder, Markus Herrmann-Wicklmayr +3

This article proposes a modular optimal control framework for local three-dimensional ellipsoidal obstacle avoidance, exemplarily applied to model predictive path-following control…

eess.SY2025★ 1 cited

Model Predictive Path-Following Control for a Quadrotor

David Leprich, Mario Rosenfelder, Mario Hermle +2

Automating drone-assisted processes is a complex task. Many solutions rely on trajectory generation and tracking, whereas in contrast, path-following control is a particularly prom…

cs.RO2025★ 3 cited

Discovering Antagonists in Networks of Systems: Robot Deployment

Ingeborg Wenger, Peter Eberhard, Henrik Ebel

A contextual anomaly detection method is proposed and applied to the physical motions of a robot swarm executing a coverage task. Using simulations of a swarm's normal behavior, a…

cs.RO2025★ 5 cited

An Online Optimization-Based Trajectory Planning Approach for Cooperative Landing Tasks

Jingshan Chen, Lihan Xu, Henrik Ebel +1

This paper presents a real-time trajectory planning scheme for a heterogeneous multi-robot system (consisting of a quadrotor and a ground mobile robot) for a cooperative landing ta…