Research Data and Code Supporting the PhD Dissertation: Learning Interpretable Robot Dynamics for Control — From Physical Structure to Latent Coordinates
4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 25 oktober 2026
Wat erin zit
This dataset contains research data and code supporting the main findings presented in the PhD dissertation "Learning Interpretable Robot Dynamics for Control: From Physical Structure to Latent Coordinates" by Jingyue Liu at Delft University of Technology. The dataset covers research on physics-informed and structure-preserving dynamics learning, geometric coordinate learning, control-oriented coordinate learning for underactuated systems, reduced-order dynamics, structured oscillatory latent dynamics, and soft underwater robotics. Detailed descriptions of the data, code, and related publications are provided in the accompanying README files.
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