28 citations · 50 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
Maximilian Stölzle, Cosimo Della Santina
Even though a variety of methods have been proposed in the literature, efficient and effective latent-space control (i.e., control in a learned low-dimensional space) of physical s…
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus +2
Integrating Brain-Machine Interfaces into non-clinical applications like robot motion control remains difficult - despite remarkable advancements in clinical settings. Specifically…