End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. - Cansu Sancaktar; Marcel A. J. van Gerven; Pablo Lanillos (ICDL-EPIROB, 2020)

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. - Cansu Sancaktar; Pablo Lanillos (CoRR, 2020)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation. - Cansu Sancaktar; Sebastian Blaes; Georg Martius (NeurIPS, 2022)

Regularity as Intrinsic Reward for Free Play. - Cansu Sancaktar; Justus H. Piater; Georg Martius (NeurIPS, 2023)

Optimistic Active Exploration of Dynamical Systems. - Bhavya Sukhija; Lenart Treven; Cansu Sancaktar; Sebastian Blaes; Stelian Coros; Andreas Krause 001 (NeurIPS, 2023)

Modelling Microbial Communities with Graph Neural Networks. - Albane Ruaud; Cansu Sancaktar; Marco Bagatella; Christoph Ratzke; Georg Martius (ICML, 2024)

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. - Cansu Sancaktar; Christian Gumbsch; Andrii Zadaianchuk; Pavel Kolev; Georg Martius (CoRR, 2025)