| Modeling, learning, perception, and control methods for deformable object manipulation H Yin, A Varava, D Kragic Science Robotics 6 (54), eabd8803, 2021 | 202 | 2021 |
| Learning object-level impedance control for robust grasping and dexterous manipulation M Li, H Yin, K Tahara, A Billard 2014 IEEE International Conference on Robotics and Automation (ICRA), 6784-6791, 2014 | 117 | 2014 |
| Benchmarking bimanual cloth manipulation I Garcia-Camacho, M Lippi, MC Welle, H Yin, R Antonova, A Varava, ... IEEE Robotics and Automation Letters 5 (2), 1111-1118, 2020 | 81 | 2020 |
| Latent space roadmap for visual action planning of deformable and rigid object manipulation M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 61 | 2020 |
| Stability-guaranteed reinforcement learning for contact-rich manipulation SA Khader, H Yin, P Falco, D Kragic IEEE Robotics and Automation Letters 6 (1), 1-8, 2020 | 43 | 2020 |
| Geometric multimodal contrastive representation learning P Poklukar, M Vasco, H Yin, FS Melo, A Paiva, D Kragic International Conference on Machine Learning, 17782-17800, 2022 | 41 | 2022 |
| Do children perceive whether a robotic peer is learning or not? S Chandra, R Paradeda, H Yin, P Dillenbourg, R Prada, A Paiva Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 35 | 2018 |
| Synthesizing robotic handwriting motion by learning from human demonstrations H Yin, P Alves-Oliveira, FS Melo, A Billard, A Paiva Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 28 | 2016 |
| Associate latent encodings in learning from demonstrations H Yin, F Melo, A Billard, A Paiva Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 25 | 2017 |
| Dynamic environments with deformable objects R Antonova, P Shi, H Yin, Z Weng, DK Jensfelt Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 22 | 2021 |
| Graph-based normalizing flow for human motion generation and reconstruction W Yin, H Yin, D Kragic, M Björkman 2021 30th IEEE International Conference on Robot & Human Interactive …, 2021 | 20 | 2021 |
| Data-efficient model learning and prediction for contact-rich manipulation tasks SA Khader, H Yin, P Falco, D Kragic IEEE robotics and automation letters 5 (3), 4321-4328, 2020 | 20 | 2020 |
| Dance style transfer with cross-modal transformer W Yin, H Yin, K Baraka, D Kragic, M Björkman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 18 | 2023 |
| Graph-based task-specific prediction models for interactions between deformable and rigid objects Z Weng, F Paus, A Varava, H Yin, T Asfour, D Kragic 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 18 | 2021 |
| Enabling visual action planning for object manipulation through latent space roadmap M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic IEEE Transactions on Robotics 39 (1), 57-75, 2022 | 16 | 2022 |
| Learning deep energy shaping policies for stability-guaranteed manipulation SA Khader, H Yin, P Falco, D Kragic IEEE Robotics and Automation Letters 6 (4), 8583-8590, 2021 | 15* | 2021 |
| Leveraging hierarchy in multimodal generative models for effective cross-modality inference M Vasco, H Yin, FS Melo, A Paiva Neural Networks 146, 238-255, 2022 | 14 | 2022 |
| Learning stable normalizing-flow control for robotic manipulation SA Khader, H Yin, P Falco, D Kragic 2021 IEEE International Conference on Robotics and Automation (ICRA), 1644-1650, 2021 | 12 | 2021 |
| Learning cost function and trajectory for robotic writing motion H Yin, A Paiva, A Billard 2014 IEEE-RAS International Conference on Humanoid Robots, 608-615, 2014 | 12 | 2014 |
| Affect of robot’s competencies on children’s perception S Chandra, R Paradeda, H Yin, P Dillenbourg, R Prada, A Paiva AAMAS'17: Proceedings of the 16th Conference on Autonomous Agents and …, 2017 | 11 | 2017 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of Technology在 kth.se 的电子邮件经过验证
