Journal articles

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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

Conference papers

  1. 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
  2. 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
  3. 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
  4. 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

  5. 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.

  6. 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