M.W. (Maximilian) Stölzle
M.W. (Maximilian) Stölzle
Profile
Research
My research interest include investigating novel hybrid approaches to combine model-based and data-driven methods for the dynamic control of soft robots. I see in particular more potential in modelling the actuation dynamics. Additionally, I like to investigate how we can achieve proprioception for soft robots.
Biography
Maximilian obtained both his bachelor and master degrees in Mechanical Engineering from ETH Zürich in Switzerland. During his masters, he focused on Robotics, Systems and Control and spent a semester as an exchange student at University College London. Maximilian contributed to several research projects during his masters with one paper accepted on the topic of using neural networks for cost estimation during RRT* path planning to ICRA 2021. He worked on his master thesis in a joint research project with the Planetary Robotics Lab of the European Space Agency in the Netherlands on the topic of solving occlusion in local robot elevation maps using neural networks. As an extracurricular activity, he served as a lead of the simulations and control team consisting of six students of the project Euler of the Academic Space Initiative Switzerland (ARIS) participating in the European Rocketry Challenge 2020 in Portugal.
In March 2021, Maximilian started his PhD on the topic of
Model-based and Data-driven Nonlinear Control of Soft Robots under guidance and supervision of Dr. Cosimo Della Santina and Prof. Babuska at the Cognitive Robotics department.
Expertise
Publications
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2024
An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots
Maximilian Stölzle / Daniela Rus / Cosimo Della Santina
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2024
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
Maximilian Stölzle / S. Baberwal / Daniela Rus / Shirley Coyle / C. Della Santina
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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
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2023
Modelling Handed Shearing Auxetics: Selective Piecewise Constant Strain Kinematics and Dynamic Simulation
Maximilian Stölzle / Lillian Chin / Ryan Truby / Daniela Rus / Cosimo Della Santina
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2022
Learning 3D Shape Proprioception for Continuum Soft Robots with Multiple Magnetic Sensors
T.A. Baaij / Marn Klein Holkenborg / Maximilian Stölzle / Daan van der Tuin / Jonatan Naaktgeboren / Robert Babuska / Cosimo Della Santina
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Prizes
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2024-4-16
IEEE RAS RoboSoft 2024 Best Paper Award
Received the Best Paper Award the 2024 IEEE 7th
International Conference on Soft Robotics (RoboSoft) for the work on Guiding soft robots with motor-imagery brain signals and impedance contro
7th IEEE International Conference on Soft Robotics, RoboSoft 2024
Ancillary activities
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2021-03-01 - 2025-02-28
Information and communications