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Yuxuan Yang

Befattning: Postdoktor Organisation: Institutionen för naturvetenskap och teknik

E-post: eXV4dWFuLnlhbmc7b3J1LnNl

Telefon: Telefonnummer saknas

Rum: T2247

Forskningsämne

Forskningsmiljöer

Forskargrupper

Yang, Y. , Stork, J. A. & Stoyanov, T. (2022). Learning differentiable dynamics models for shape control of deformable linear objects. Robotics and Autonomous Systems, 158. [BibTeX]
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. [BibTeX]

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. [BibTeX]
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. (ss. 4056-4062). IEEE. [BibTeX]
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. [BibTeX]