Learning cost function and trajectory for robotic writing motion. - Hang Yin 001; Ana Paiva 001; Aude Billard (Humanoids, 2014)

Learning object-level impedance control for robust grasping and dexterous manipulation. - Miao Li 002; Hang Yin 001; Kenji Tahara; Aude Billard (ICRA, 2014)

Bidirectional Learning of Handwriting Skill in Human-Robot Interaction. - Hang Yin 001; Aude Billard; Ana Paiva 001 (HRI (Extended Abstracts), 2015)

Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations. - Hang Yin 001; Patrícia Alves-Oliveira; Francisco S. Melo; Aude Billard; Ana Paiva 001 (IJCAI, 2016)

Associate Latent Encodings in Learning from Demonstrations. - Hang Yin 001; Francisco S. Melo; Aude Billard; Ana Paiva 001 (AAAI, 2017)

Affect of Robot's Competencies on Children's Perception. - Shruti Chandra; Raul Benites Paradeda; Hang Yin 001; Pierre Dillenbourg; Rui Prada; Ana Paiva 001 (AAMAS, 2017)

Do Children Perceive Whether a Robotic Peer is Learning or Not? - Shruti Chandra; Raul Benites Paradeda; Hang Yin 001; Pierre Dillenbourg; Rui Prada; Ana Paiva 001 (HRI, 2018)

An ensemble inverse optimal control approach for robotic task learning and adaptation. - Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Aude Billard (Auton. Robots, 2019)

Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (CoRR, 2019)

In-Hand Manipulation of Objects with Unknown Shapes. - Silvia Cruciani; Hang Yin 001; Danica Kragic (ICRA, 2020)

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasiia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (IROS, 2020)

Benchmarking Bimanual Cloth Manipulation. - Irene Garcia-Camacho; Guillem Alenyà; Danica Kragic; Martina Lippi; Michael C. Welle; Hang Yin 001; Rika Antonova; Anastasiia Varava; Júlia Borràs Sol; Carme Torras; Alessandro Marino (IEEE Robotics Autom. Lett., 2020)

Data-Efficient Model Learning and Prediction for Contact-Rich Manipulation Tasks. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (IEEE Robotics Autom. Lett., 2020)

Learning Stable Normalizing-Flow Control for Robotic Manipulation. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (ICRA, 2021)

Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects. - Zehang Weng; Fabian Paus; Anastasiia Varava; Hang Yin 001; Tamim Asfour; Danica Kragic (IROS, 2021)

Dynamic Environments with Deformable Objects. - Rika Antonova; Peiyang Shi; Hang Yin 001; Zehang Weng; Danica Kragic (NeurIPS Datasets and Benchmarks, 2021)

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. - Wenjie Yin; Hang Yin 001; Danica Kragic; Mårten Björkman (RO-MAN, 2021)

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasiia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (CoRR, 2021)

Learning Deep Neural Policies with Stability Guarantees. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (CoRR, 2021)

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (CoRR, 2021)

Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (IEEE Robotics Autom. Lett., 2021)

Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation. - Shahbaz Abdul Khader; Hang Yin 001; Pietro Falco; Danica Kragic (IEEE Robotics Autom. Lett., 2021)

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

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (AAMAS, 2022)

Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Danica Kragic (ICML, 2022)

Back to the Manifold: Recovering from Out-of-Distribution States. - Alfredo Reichlin; Giovanni Luca Marchetti; Hang Yin 001; Ali Ghadirzadeh; Danica Kragic (IROS, 2022)

Consensus-based Normalizing-Flow Control: A Case Study in Learning Dual-Arm Coordination. - Hang Yin 001; Christos K. Verginis; Danica Kragic (IROS, 2022)

Embedding Koopman Optimal Control in Robot Policy Learning. - Hang Yin 001; Michael C. Welle; Danica Kragic (IROS, 2022)

GMC - Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Danica Kragic (CoRR, 2022)

On the Subspace Structure of Gradient-Based Meta-Learning. - Gustaf Tegnér; Alfredo Reichlin; Hang Yin 001; Mårten Björkman; Danica Kragic (CoRR, 2022)

Leveraging hierarchy in multimodal generative models for effective cross-modality inference. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (Neural Networks, 2022)

Learning Geometric Representations of Objects via Interaction. - Alfredo Reichlin; Giovanni Luca Marchetti; Hang Yin 001; Anastasiia Varava; Danica Kragic (ECML/PKDD (4), 2023)

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. - Wenjie Yin; Ruibo Tu; Hang Yin 001; Danica Kragic; Hedvig Kjellström; Mårten Björkman (RO-MAN, 2023)

Dance Style Transfer with Cross-modal Transformer. - Wenjie Yin; Hang Yin 001; Kim Baraka; Danica Kragic; Mårten Björkman (WACV, 2023)

Music- and Lyrics-driven Dance Synthesis. - Wenjie Yin; Qingyuan Yao; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (CoRR, 2023)

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)

Multimodal dance style transfer. - Wenjie Yin; Hang Yin 001; Kim Baraka; Danica Kragic; Mårten Björkman (Mach. Vis. Appl., 2023)

Scalable Motion Style Transfer with Constrained Diffusion Generation. - Wenjie Yin; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (AAAI, 2024)

Goal-Conditioned Offline Reinforcement Learning via Metric Learning. - Alfredo Reichlin; Miguel Vasco; Hang Yin 001; Danica Kragic (CoRR, 2024)

LM2D: Lyrics- and Music-Driven Dance Synthesis. - Wenjie Yin; Xuejiao Zhao; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (CoRR, 2024)

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. - Alfredo Reichlin; Gustaf Tegnér; Miguel Vasco; Hang Yin 001; Mårten Björkman; Danica Kragic (Trans. Mach. Learn. Res., 2024)

Interactive Perception for Deformable Object Manipulation. - Zehang Weng; Peng Zhou 018; Hang Yin 001; Alexander Kravberg; Anastasiia Varava; David Navarro-Alarcon; Danica Kragic (IEEE Robotics Autom. Lett., 2024)

ADAPT: AI-Driven Artefact Purging Technique for IMU Based Motion Capture. - Paul Schreiner; Rasmus Netterstrøm; Hang Yin 001; Sune Darkner; Kenny Erleben (Comput. Graph. Forum, 2024)

Unfolding the Literature: A Review of Robotic Cloth Manipulation. - Alberta Longhini; Yufei Wang 007; Irene Garcia-Camacho; David Blanco-Mulero; Marco Moletta; Michael C. Welle; Guillem Alenyà; Hang Yin 001; Zackory Erickson; David Held; Júlia Borràs 001; Danica Kragic (Annu. Rev. Control. Robotics Auton. Syst., 2025)