Andreas Höhl M.Sc.

Working area(s)

Model Predictive Control, Airborne Wind Energy, Machine Learning in Control Engineering, Movement Assistance Systems, MAKI - X5

Contact

work +49 6151 16-25195
fax +49 6151 16-25172

Work S3|10 521
Landgraf-Georg-Str. 4
64283 Darmstadt

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View complete list at TUbiblio View this list at TUbiblio

Topic Type Status
Deep Learning-Based Estimation of Gait Effort from Electromyography Data Master's Thesis In Progress
Suitability Evaluation for Electroencephalography Signals for Machine-Learing-based Activity Detection during Waklnig Bachelor's Thesis In Progress
Human Gait Analysis in the Field (opens in new tab) Project Seminar In Progress
Compensation of Delays in Nonlinear Model Predictive Control using NLP Sensitivity Analysis (opens in new tab) Master's Thesis Completed
Path Following Model Predictive Control for Power Kites (opens in new tab) Master's Thesis Completed
Multi-Goal Trajectory Planning for an Obstacle Course (opens in new tab) Project Seminar Completed
Review and Predictive Control of Conceptual Bipedal Walking Models (opens in new tab) Project Seminar Completed
Improving Trajectory Control using Parameter Identificantion with Different Mobile Robots (In Kooperation with Energy Robotics) Master's Thesis Completed
State Estimation for a small Ground Vehicle using Heterogeneous Sensor Measurements (opens in new tab) Project Seminar Completed
Data-driven Modeling of an Underactuated Double Pendulum (opens in new tab) Bachelor's Thesis Completed
Reinforcement Learning applied to the Control of an Actuated Double Pendulum (opens in new tab) Master's Thesis Completed
Power Kite Control using Reinforcement learning (opens in new tab) Project Seminar Completed
Nonsmooth Numerical OptimalControl (opens in new tab) Proseminar Completed
Teaching Assistant for Laboratory Control Systems I / Control of Mechatronic Systems SoSe 2024
Teaching Assistant & Organization for Systemdynamik und Regelungstechnik I WiSe 2022/23, WiSe 2023/24
Teaching Assistant for Optimal Control and Predictive Control SoSe 2023