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Sandra Hirche

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Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes

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May 14, 2024
Samuel Tesfazgi, Markus Keßler, Emilio Trigili, Armin Lederer, Sandra Hirche

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Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes

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May 14, 2024
Samuel Tesfazgi, Leonhard Sprandl, Armin Lederer, Sandra Hirche

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Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control

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May 12, 2024
Petar Bevanda, Bas Driessen, Lucian Cristian Iacob, Roland Toth, Stefan Sosnowski, Sandra Hirche

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Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery

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Apr 17, 2024
Cedric Donié, Marie K. Reumann, Tony Hartung, Benedikt J. Braun, Tina Histing, Satoshi Endo, Sandra Hirche

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Risk-averse Learning with Non-Stationary Distributions

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Apr 03, 2024
Siyi Wang, Zifan Wang, Xinlei Yi, Michael M. Zavlanos, Karl H. Johansson, Sandra Hirche

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Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression

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Feb 05, 2024
Xiaobing Dai, Zewen Yang, Mengtian Xu, Fangzhou Liu, Georges Hattab, Sandra Hirche

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Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies

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Feb 05, 2024
Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche

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Whom to Trust? Elective Learning for Distributed Gaussian Process Regression

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Feb 05, 2024
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab

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Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates

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Nov 03, 2023
Alexandre Capone, Ryan Cosner, Aaron Ames, Sandra Hirche

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Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach

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Oct 04, 2023
Alexandre Capone, Tim Brüdigam, Sandra Hirche

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