Modeling, learning, perception, and control methods for deformable object manipulation. - Hang Yin 001; Anastasia Varava; Danica Kragic (Sci. Robotics, 2021)

Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning. - Constantinos Chamzas; Martina Lippi; Michael C. Welle; Anastasia Varava; Lydia E. Kavraki; Danica Kragic (IROS, 2022)

GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs. - Ciwan Ceylan; Petra Poklukar; Hanna Hultin; Alexander Kravchenko; Anastasia Varava; Danica Kragic (CoRR, 2022)

Delaunay Component Analysis for Evaluation of Data Representations. - Petra Poklukar; Vladislav Polianskii; Anastasia Varava; Florian T. Pokorny; Danica Kragic (CoRR, 2022)

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (IEEE Trans. Robotics, 2023)

InvMap and Witness Simplicial Variational Auto-Encoders. - Aniss Aiman Medbouhi; Vladislav Polianskii; Anastasia Varava; Danica Kragic (Mach. Learn. Knowl. Extr., 2023)

Hyperbolic Delaunay Geometric Alignment. - Aniss Aiman Medbouhi; Giovanni Luca Marchetti; Vladislav Polianskii; Alexander Kravberg; Petra Poklukar; Anastasia Varava; Danica Kragic (ECML/PKDD (3), 2024)

A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models. - Nils Ingelhag; Jesper Munkeby; Jonne van Haastregt; Anastasia Varava; Michael C. Welle; Danica Kragic (RO-MAN, 2024)