Yuxuan Yang
Title: Doctoral Student School/office: School of Science and TechnologyEmail: yuxuan.yang@oru.se
Phone: +46 19 301113
Room: T1217
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Publications
Articles in journals |
Conference papers |
Articles in journals
- 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.
Conference papers
- Yang, Y. , Stork, J. A. & Stoyanov, T. (2021). Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. In: 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. Paper presented at IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 30 - June 5, 2021 (pp. 1950-1957). IEEE.