Yuxuan Yang
Tjänstetitel: Doktorand Organisation: Institutionen för naturvetenskap och teknikE-post: yuxuan.yang@oru.se
Telefon: 019 301113
Rum: T1217
Forskningsprojekt
Pågående projekt
Avslutade projekt
Publikationer
Artiklar i tidskrifter |
Konferensbidrag |
Artiklar i tidskrifter
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2022). Learning differentiable dynamics models for shape control of deformable linear objects. Robotics and Autonomous Systems, 158.
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2022). Particle Filters in Latent Space for Robust Deformable Linear Object Tracking. IEEE Robotics and Automation Letters, 7 (4), 12577-12584.
Konferensbidrag
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2022). Learn to Predict Posterior Probability in Particle Filtering for Tracking Deformable Linear Objects. I: 3rd Workshop on Robotic Manipulation of Deformable Objects: Challenges in Perception, Planning and Control for Soft Interaction (ROMADO-SI), IROS 2022, Kyoto, Japan. Konferensbidrag vid 35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 24-26, 2022.
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2022). Online Model Learning for Shape Control of Deformable Linear Objects. I: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Konferensbidrag vid 35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. IEEE.
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2021). Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. I: 2021 IEEE International Conference on Robotics and Automation (ICRA) IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 30 - June 5, 2021. Konferensbidrag vid IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 30 - June 5, 2021. (ss. 1950-1957). IEEE.