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20142026
most citedEfficient Spatio-Temporal Gaussian Regression via Kalman Filtering

29 citations · 120 across the 27 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

Graph Neural Model Predictive Control for High-Dimensional Systems

Patrick Benito Eberhard, Luis Pabon, Daniele Gammelli +5

The control of high-dimensional systems, such as soft robots, requires models that faithfully capture complex dynamics while remaining computationally tractable. This work presents…

cs.RO2024

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot

Sabrina Bodmer, Lukas Vogel, Simon Muntwiler +5

This paper presents an open-source miniature car-like robot with low-cost sensing and a pipeline for optimization-based system identification, state estimation, and control. The ov…

cs.RO2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (-MPC)

Luis Pabon, Johannes Köhler, John Irvin Alora +4

In Model Predictive Control (MPC), discrepancies between the actual system and the predictive model can lead to substantial tracking errors and significantly degrade performance an…

cs.RO2022

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation

Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio +4

Mobile manipulation in robotics is challenging due to the need of solving many diverse tasks, such as opening a door or picking-and-placing an object. Typically, a basic first-prin…

cs.RO2022★ 17 cited

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control

Andrea Carron, Sabrina Bodmer, Lukas Vogel +6

From both an educational and research point of view, experiments on hardware are a key aspect of robotics and control. In the last decade, many open-source hardware and software fr…

cs.RO2021★ 24 cited

Contextual Tuning of Model Predictive Control for Autonomous Racing

Lukas P. Fröhlich, Christian Küttel, Elena Arcari +3

Learning-based model predictive control has been widely applied in autonomous racing to improve the closed-loop behaviour of vehicles in a data-driven manner. When environmental co…

cs.RO2021

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket

Lukas Spannagl, Elias Hampp, Andrea Carron +5

In the last decade, autonomous vertical take-off and landing (VTOL) vehicles have become increasingly important as they lower mission costs thanks to their re-usability. However, t…