1. Thomas Eiband, Christoph Willibald, Isabel Tannert, Bernhard Weber, and Dongheui Lee, Collaborative Programming of Robotic Task Decisions and Recovery Behaviors. Autonomous Robots (AURO), 47(2), 229-247, 2023. DOI:10.1007/s10514-022-10062-9. Paper
  2. Youssef Michel, Matteo Saveriano and Dongheui Lee, A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems, IEEE Transactions on Automation Science and Engineering, pp. - , 2023
  3. Haotian Xue, Youssef Michel, and Dongheui Lee, A Shared Control Approach Based on First-Order Dynamical Systems and Closed-Loop Variable Stiffness Control, Journal of Intelligent and Robotic Systems, pp. - , 2023
  4. Youssef Michel, Zhendong Li, and Dongheui Lee, A Learning Based Shared Control Approach For Contact Tasks, IEEE Robotics and Automation Letters (RA-L), pp. - , 2023. DOI: 10.1109/LRA.2023.3322332
  5. Ni, Zhifan., Esteve Valls Mascaró., Hyemin Ahn, & Dongheui Lee.  Human-object interaction prediction in videos through gaze following, Computer Vision and Image Understanding,  2023.  Paper |  ArXivProject Page
  6. Hyemin Ahn, Youssef Michel, Thomas Eiband and Dongheui Lee, Vision-based Approximate Estimation of Muscle Activation Patterns for Tele-Impedance, IEEE Robotics and Automation Letters (RA-L), pp. - , 2023
  7. David Paulius, Alejandro Agostini, Dongheui Lee, Long-Horizon Planning and Execution with Functional Object-Oriented Networks, IEEE Robotics and Automation Letters (RA-L), 2023. DOI: 10.1109/LRA.2023.3285510
  8. Youssef Michel, Katrin Schulleri, Leif Johannsen, and Dongheui Lee, Coordination tending towards an anti-phase relationship determines greater sway reduction during entrainment with a simulated partner, Human Movement Science, vol. 89, 103090, 2023. doi: 10.1016/j.humov.2023.103090
  9. Huang Dan, Hyemin Ahn, Shile Li, Yueming Hu, and Dongheui Lee, Estimation of 6D pose of objects based on a variant adversarial autoencoder, Neural Processing Letters, 2023
  10. Thomas Eiband, Johanna Liebl, Christoph Willibald and Dongheui Lee, Online Task Segmentation by Merging Symbolic and Data-Driven Skill Recognition during Kinesthetic Teaching, Robotics and Autonomous Systems, 2023. doi: 10.1016/j.robot.2023.104367
  11. Alessio Caporali, Matteo Pantano, Lucas Janisch, Daniel Regulin, Gianluca Palli, and Dongheui Lee, A Weakly Supervised Semi-automatic Image Labeling Approach for Deformable Linear Objects, IEEE Robotics and Automation Letters (RA-L), Vol. 8 , No. 2, pp. 1013-1020, Feb. 2023. doi: 10.1109/LRA.2023.3234799
  12. Chenguang Yang, Shan Luo, Nathan Lepora, Fanny Ficuciello, Dongheui Lee, Weiwei Wan, Chun-Yi Su, ”Biomimetic Perception, Cognition, and Control: From Nature to Robots [From the Guest Editors],¨ın IEEE Robotics and Automation Magazine (RAM), vol. 29, no. 4, pp. 8, Dec. 2022, doi: 10.1109/MRA.2022.3213199.
  13. Matteo Pantano, Qiaoyue Yang, Adrian Blumberg, Raven Reisch, Tobias Hauser, Benjamin Lutz, Daniel Regulin, Tobias Kamps, Konstantinos Traganos, Dongheui Lee, Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario, Frontiers in Robotics and AI, 9:943261, 2022. DOI:10.3389/frobt.2022.943261


  1. Esteve Valls Mascaro, Hyemin Ahn and Dongheui Lee, A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis, AAAI Conference on Artificial Intelligence (2024). (ArXiV, Webpage)
  2. Yashuai Yan, Esteve Valls Mascaro and Dongheui Lee, Unsupervised human-to-robot motion retargeting via expressive latent space, IEEE International Conference on Humanoid Robots (HUMANOIDS), pp.-, 2023 (ArXiV, Webpage)
  3. Esteve Valls Mascaro, Daniel Sliwowski, and Dongheui Lee, HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs, Conference on Robot Learning (CoRL), 2023. (Webpage,Paper)
  4. Matteo Pantano, Arianna Curioni, Daniel Regulin, Tobias Kamps and Dongheui Lee, Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Effciency in a Human-Robot Collaboration Task, IEEE International Conference on Humanoid Robots (HUMANOIDS), pp.-, 2023
  5. Matteo Pantano, Vladislav Klass, Qiaoyue Yang, Akhil Sathuluri, Daniel Regulin, Lucas Janisch, Markus Zimmermann, and Dongheui Lee, Simplifying Robot Grasping in Manufacturing with a Teaching Approach based on a Novel User Grasp Metric, 5th International Conference on Industry 4.0 and Smart Manufacturing, 2023
  6. Thomas Eiband, Florian Lay, Korbinian Nottensteiner, Dongheui Lee, Automatic Skill Recognition in a Knowledge-driven Robot Programming Framework, 5th International Conference on Industry 4.0 and Smart Manufacturing, 2023
  7. Sang-ik An, Gyunghoon Park, and Dongheui Lee, Strictly Positive Realness-Based Feedback Gain Design Under Imperfect Input-Output Feedback Linearization in Prioritized Control Problem, IEEE Conference on Decision and Control (CDC), 2023.
  8. Manuel Stoiber, Mariam Elsayed, Anne Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel, Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.-, 2023 (Website)
  9. Youssef Michel, Matteo Saveriano, Fares Abu-Dakka, Dongheui Lee, Orientation Control with Variable Stiffness Dynamical Systems, in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.-, 2023
  10. Ahn, H., Mascaro, E. V., & Lee, D. (2023). "Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?,  2023 IEEE International Conference on Robotics and Automation (ICRA). Project page | ArXiV Paper
  11. Mascaró, E. V., Ahn, H., & Lee, D. (2023). Intention-Conditioned Long-Term Human Egocentric Action Anticipation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 6048-6057).  Project Page | Paper
  12. E. V. Mascaro, S. Ma, H. Ahn and D. Lee, Robust Human Motion Forecasting using Transformer-based Model, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 10674-10680, doi: 10.1109/IROS47612.2022.9981877.Project Page | Paper | ArXiv Paper
  13. Sang-ik An, Gyunghoon Park, and Dongheui Lee, When Prioritization Meets Input-output Linearization: A Prioritized Multi-objective Control and Case Study with Two-link Manipulator, IEEE Conference on Decision and Control (CDC), 2022. DOI: 10.1109/CDC51059.2022.9992645, IEEE website page, PDF of the paper

  14. Christoph Willibald and Dongheui Lee, Multi-Level Task Learning Based on Intention and Constraint Inference for Autonomous Robotic Manipulation, in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.

  15. Matteo Pantano, Thomas Eiband, Dongheui Lee, Capability-based Frameworks for Industrial Robot Skills: a Survey, IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022. DOI: 10.1109/CASE49997.2022.9926648, PDF of the paper