Robust Reinforcement Learning: A Review of Foundations and Recent Advances. - Janosch Moos; Kay Hansel; Hany Abdulsamad; Svenja Stark; Debora Clever; Jan Peters 001 (Mach. Learn. Knowl. Extr., 2022)

Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation. - Yaonan Zhu; Shukrullo Nazirjonov; Bingheng Jiang; Jacinto Colan; Tadayoshi Aoyama; Yasuhisa Hasegawa; Boris Belousov; Kay Hansel; Jan Peters 001 (CBS, 2023)

Hierarchical Policy Blending as Inference for Reactive Robot Control. - Kay Hansel; Julen Urain; Jan Peters 001; Georgia Chalvatzaki (ICRA, 2023)

Hierarchical Policy Blending As Optimal Transport. - An T. Le 001; Kay Hansel; Jan Peters 001; Georgia Chalvatzaki (L4DC, 2023)

Human Preferences and Robot Constraints Aware Shared Control for Smooth Follower Motion Execution. - Qibin Chen; Yaonan Zhu; Kay Hansel; Tadayoshi Aoyama; Yasuhisa Hasegawa (CoRR, 2023)

Integrating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation. - Noah Becker; Erik Gattung; Kay Hansel; Tim Schneider; Yaonan Zhu; Yasuhisa Hasegawa; Jan Peters 001 (CoRR, 2024)

Global Tensor Motion Planning. - An T. Le 001; Kay Hansel; João Carvalho; Joe Watson; Julen Urain; Armin Biess; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

Machine Learning with Physics Knowledge for Prediction: A Survey. - Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le 001; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; et al. (Trans. Mach. Learn. Res., 2025)