Evangelisti, Giulio;Hirche, Sandra
Data-Driven Momentum Observers With Physically Consistent Gaussian Processes
IEEE Transactions on Robotics
2024
40
1938-1951

Yang, Zewen and Dai, Xiaobing and Dubey, Akshat and Hirche, Sandra, Hattab, Georges
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression
2024

Zewen Yang
Pri-GP: Prior-Aware Distributed Gaussian Process Regression
2023

P. Bevanda; J. Kirmayr; S. Sosnowski; S. Hirche
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
2022 American Control Conference (ACC)
IEEE
2022

P. Bevanda, M. Beier, A. Lederer, S. Sosnowski, E. Hüllermeier, S. Hirche
Koopman Kernel Regression
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
2023

Xiaobing Dai
Dynamics and Control of Lattice Boom Cranes as Spatial Rigid-Flexible Multibody Systems
2021

Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T Nguyen, Frank HP Fitzek, Sandra Hirche
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
2023

Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
2023

Omainska, Marco;Yamauchi, Junya;Lederer, Armin;Hirche, Sandra;Fujita, Masayuki
Rigid Motion Gaussian Processes With SE(3) Kernel and Application to Visual Pursuit Control
IEEE Control Systems Letters
2023
7
2665-2670

Römer, Ralf;Lederer, Armin;Tesfazgi, Samuel;Hirche, Sandra
Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation
IEEE Robotics and Automation Letters
2023
8
11
7825-7832