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cs.RO2025
Symbolic Learning of Interpretable Reduced-Order Models for Jumping Quadruped Robots
Gioele Buriani, Jingyue Liu, Maximilian Stölzle +2
Reduced-order models are central to motion planning and control of quadruped robots, yet existing templates are often hand-crafted for a specific locomotion modality. This motivate…
cs.RO2024
Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
Ricardo Valadas, Maximilian Stölzle, Jingyue Liu +1
Obtaining dynamic models of continuum soft robots is central to the analysis and control of soft robots, and researchers have devoted much attention to the challenge of proposing b…