Maximilian Stölzle

Birnbaumstrasse 6 · 9320 Arbon · Switzerland · +41 79 942 5028 · maximilian@stoelzle.ch

From March 2021, I will be a PhD candidate in Robotics with Prof. Cosimo Della Santina at TU Delft. I am fascinated by the application of machine learning to long-standing robotic problems. Please check back here soon for more content and updates.


Selected Experience

PhD Candidate in Robotics

TU Delft

Model-based and data-driven control of soft robots under supervision of Prof. Cosimo Della Santina

From March 2021

Robotics Intern

European Space Agency

Master thesis on Solving occlusion in terrain mapping with GAN’s at the Planetary Robotics Lab

September 2020 - February 2021

Co-Lead Development & IT

Quap GmbH

Responsible for the further development and maintenance of both the frontend and the backend of the booking platform www.quap.ch

  • Part of a young and dynamic start-up company with a strong focus on both service providers and end customers
  • Involved in strategy decisions and responsible for prioritizing features for implementation
  • Implementation of a payment function for the end user
  • Migration of the system to Amazon Web Services with the focus on scalability and modularity
September 2015 - December 2020

Team-lead Simulations & Control

Academic Space Initiative Switzerland (ARIS Space)

Lead of the sub-team Simulations & Control consisting of six students for ARIS Project Euler participating in the European Rocketry Challenge 2020 in Portugal. aris-space.ch/project-euler

  • Design of a MPC controller for actuation of air-brakes of a sounding rocket to reach the desired apogee
  • Modeling of flight dynamics and design of a modular simulation
  • Development of an ExtendedKalmanFilter(EKF)for state estimation and subsequently implementation in C on the flight hardware with a real-time operating system.
September 2019 - September 2020

Research Assistant

Department of Mechanical Engineering, University College London

Research project on Reinforcement Learning Control for Unmanned Surface Vehicles

  • Funding granted within the UCL Mechanical Engineering Undergraduate Vacation Studentship Scheme
  • Implemented simulation environment for training of Deep Deterministic Policy Agents through Reinforcement Learning for path-following of Unmanned Surface Vehicles (USVs)
  • Development of an Extended Kalman Filter(EKF)for state estimation and subsequently implementation in C on the flight hardware with a real-time operating system.
  • Developed and assessed the performance of Deep Neural Networks for the Actor and Critic
June 2019 - September 2019

Product Development Intern

Zühlke Engineering
  • Involved in the development of a curing device in the dental industry within a fast and agile product development process in constant exchange with the customer
  • Elaboration and construction of an automatic measuring platform for the optical measurement of the building space of the curing device (Solidworks)
  • Planning, execution and documentation of verification tests
  • Optical, thermal and mechanical measurements on prototypes
  • Development of an assembly concept for a curing device in the dental industry according to the principles of Lean Manufacturing.
  • Support in design (creation of cable drawings, adaptation of components) (Creo)
  • Preparation, planning, organization and support of 3D print jobs (FDM and SLA) and presentation of innovations in the field of Additive Manufacturing at the internal company symposium
September 2018 - December 2018

Mechanical Engineer

ethec

Team-member of the focus-project ethec at ETH Zurich which developed an electric motorcycle with two wheel hub motors www.ethec.ethz.ch/en/ethec_alpha

  • FEM simulation, stress analysis and fatigue strength proof according to the FKM norm for the frame
  • Development of a concept for the operation of the motorcycle and the recuperation of energy
  • Programming of the user interface for the touchscreen display (Electron, JavaScript)
  • Optical, thermal and mechanical measurements on prototypes
  • Control of the all-wheel-drive within the framework of the bachelor thesis
    • Development of a multibody simulation of the motorcycle using Simscape Multibody
    • Analysis of the driving dynamics of an all-wheel-drive motorcycle
    • Derivation of a simplified linear model of the motorcycle for the design of controllers using Euler–Lagrange equations
    • Design of a concept for a traction control system for motorcycles with all-wheel drive
September 2018 - December 2018

Education

ETH Zürich

Master of Science

Mechanical Engineering - Robotics, Systems and Control Track

  • Tutor: Prof. Dr. Emilio Frazzoli, Institute for Dynamic Systems and Control (IDSC)
  • Exchange semester at Unversity College London (UCL) with focus on Maritime Engineering
  • Master thesis at Planetary Robotics Lab of the European Space Agency (ESA) on the topic of "Solving Occlusion in Terrain Mapping using Neural Networks"
  • Semester project on Virtual Wormhole Learning: Extending Semi-Supervised Learning with Domain Confusion with conference paper submission to ICRA 2021
  • Conducted a research project on Learn to Path - Using neural networks to predict Dubins path length and path validity for UAVs in wind fields with a conference paper submission to ICRA 2021
  • Attended the lecture Autonomous Mobility on Demand including a practical project on object detection in the Duckietown environment using Deep Neural Networks github.com/duckietown-ethz/proj-lfivop-ml
January 2019 - February 2021

ETH Zürich

Bachelor of Science

Mechanical Engineering

September 2014 - August 2018