Yongxi Cao
CoR, ME, TU Delft
![2024-Apr.jpg](/assets/img/2024-Apr.jpg?893ea570381324bc2494d632cc0e4b6d)
y.cao.robo@gmail.com
Mekelweg 2
2628 CD Delft
The Netherlands
2-nd year master Robotics student at Cognitive Robotics, Delft University of Technology (Delft, Netherlands). I’m currently working on traffic behaviour prediction with deep generative models.
Obtained my bacholer’s degree in Robotics Engineering at Southern University of Science and Technology (Shenzhen, China) in 2022. Have a multidisciplinary background in mathematics, robotics, and computer science (fundamentals and machine learning).
Vision in 5 years: to develop safe and explainable planning algorithms for various embodiment of robots with deep learning, model predictive control, and evolutionary computation.
News
Aug 30, 2024 | I have graduated cum laude from TU Delft with a Master of Science in Robotics. I extend my deepest gratitude to my supervisors, Dr. Arkady Zgonnikov and Julian Schumann, for their invaluable guidance and support throughout an incredibly rewarding thesis project. |
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Jul 6, 2024 | I am to serve as a volunteer at a full-day workshop and two visits to Cognitive Robotics, TU Delft, at RSS2024. I’m also to give an oral presentation of our soft robot arm paper (RA-L transferred) at IROS2024 on behalf of our team. |
Apr 15, 2024 | I am seeking Ph.D. opportunities in plannning and/or prediction with deep learning, model predictive control, and/or evolutionary computation. Supports or resources would be greatly appreciated. |
Dec 19, 2023 | Our paper on soft robot arm design and learnig has been accepted by IEEE RA-L. |
Jun 20, 2023 | I will begin an internship at Geek+ Inc. (Beijing, China) from early July to the end of September, 2023, working on planning and perception algorithms for AMRs. |
Selected Publications
2024
- Foam-Embedded Soft Robotic Joint With Inverse Kinematic Modeling by Iterative Self-Improving LearningIEEE Robotics and Automation Letters, 2024