Jiayun Li joined the PEARL group as a PhD student at TU Darmstadt in October 2023. Prof. Georgia Chalvatzaki supervises his research, primarily focuses on approximate Bayesian inference, model learning and optimal control.
Before embarking on his PhD, Jiayun attained his master’s degree in Computational Engineering Science from TU Berlin. His Master’s study focused on numerical optimal control, and learning for control under the supervision of Prof. Marc Toussaint.
Research Interests
Motion Planning, Model Learning, Object Tracking, Approximate Bayesian Inference
References
Jiayun Li, Dejian Gong, Georgia Chalvatzaki. “IMPACT: An Implicit Active-Set Augmented Lagrangian for Fast Contact-Implicit Trajectory Optimization”, accepted to RSS 2026. [website]
Jiayun Li, Yufeng Jin, Sangli Teng, Dejian Gong, Georgia Chalvatzaki. “Stein Variational Ergodic Surface Coverage with SE (3) Constraints”, ICRA 2026. [paper]
Jiayun Li, Georgia Chalvatzaki. “A Functional Newton Method with Sparse Gradient Projection for Motion Planning”, Frontiers of optimization for robotics workshop at RSS 2024 (oral). [paper]
Jiayun Li, Arne Wahrburg, and Nima Enayati. “Active Learning of Time-Optimal Motion for an Industrial Manipulator with Variable Payload”, IFAC 2023. [paper]
Contact
> Email: jiayun.li<at>tu-darmstadt.de
> Post:
Jiayun Li
TU Darmstadt,
Landwehrstraße 50A, 64293 Darmstadt
Office. Room 1