Deep Decentralized Reinforcement Learning for Cooperative Control. - Florian Köpf; Samuel Tesfazgi; Michael Flad; Sören Hohmann (CoRR, 2019)

Inverse Reinforcement Learning: A Control Lyapunov Approach. - Samuel Tesfazgi; Armin Lederer; Sandra Hirche (CDC, 2021)

Personalized Rehabilitation Robotics based on Online Learning Control. - Samuel Tesfazgi; Armin Lederer; Johannes F. Kunz; Alejandro Jose Ordóñez Conejo; Sandra Hirche (CoRR, 2021)

Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. - Armin Lederer; Mingmin Zhang; Samuel Tesfazgi; Sandra Hirche (CCTA, 2022)

Uncertainty-Aware Visual Perception for Safe Motion Planning. - Ralf Römer; Armin Lederer; Samuel Tesfazgi; Sandra Hirche (CoRR, 2022)

Uncertainty-aware automated assessment of the arm impedance with upper-limb exoskeletons. - Samuel Tesfazgi; Ronan Sangouard; Satoshi Endo; Sandra Hirche (Frontiers Neurorobotics, 2023)

Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation. - Ralf Römer; Armin Lederer; Samuel Tesfazgi; Sandra Hirche (IEEE Robotics Autom. Lett., 2023)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes. - Samuel Tesfazgi; Markus Keßler; Emilio Trigili; Armin Lederer; Sandra Hirche (IROS, 2024)

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. - Samuel Tesfazgi; Leonhard Sprandl; Armin Lederer; Sandra Hirche (CoRR, 2024)

Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks. - Samuel Tesfazgi; Leonhard Sprandl; Sandra Hirche (AISTATS, 2025)

A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts. - Francesco Bianchin; Robert Lefringhausen; Elisa Gaetan; Samuel Tesfazgi; Sandra Hirche (CoRR, 2025)