Maximilian Stölzle

According to our database, Maximilian Stölzle authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Based Control for Soft Robots With System Uncertainties and Input Saturation.

Xiangyu Shao, Pietro Pustina, Maximilian Stölzle, Guanghui Sun, Alessandro De Luca, Ligang Wu, Cosimo Della Santina

IEEE Trans. Ind. Electron., 2024

Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control.

Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus, Shirley Coyle, Cosimo Della Santina

Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Random Oscillators Network for Time Series Processing.

Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots.

Maximilian Stölzle, Daniela Rus, Cosimo Della Santina

CoRR, 2023

Modelling Handed Shearing Auxetics: Selective Piecewise Constant Strain Kinematics and Dynamic Simulation.

Maximilian Stölzle, Lillian Chin, Ryan L. Truby, Daniela Rus, Cosimo Della Santina

Proceedings of the IEEE International Conference on Soft Robotics, 2023

2022

Reconstructing Occluded Elevation Information in Terrain Maps With Self-Supervised Learning.

Maximilian Stölzle, Takahiro Miki, Levin Gerdes, Martin Azkarate, Marco Hutter

IEEE Robotics Autom. Lett., 2022

Piston-Driven Pneumatically-Actuated Soft Robots: Modeling and Backstepping Control.

Maximilian Stölzle, Cosimo Della Santina

IEEE Control. Syst. Lett., 2022

Sensing soft robots' shape with cameras: an investigation on kinematics-aware SLAM.

Emanuele Riccardo Rosi, Maximilian Stölzle, Fabio Solari, Cosimo Della Santina

Proceedings of the 5th IEEE International Conference on Soft Robotics, 2022

2021

Solving Occlusion in Terrain Mapping with Neural Networks.

Maximilian Stölzle, Takahiro Miki, Levin Gerdes, Martin Azkarate, Marco Hutter

CoRR, 2021

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind.

Trevor Phillips, Maximilian Stölzle, Erick Turricelli, Florian Achermann, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE International Conference on Robotics and Automation, 2021