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Marten Haitjema Successfully Defends His MSc Thesis | ||
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:date: 2024-01-09 05:06:00 | ||
:tags: bicycle, engineering, perturbation, fall | ||
:category: news | ||
:slug: marten-haitjema-graduates | ||
:authors: Jason K. Moore | ||
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.. list-table:: | ||
:class: borderless | ||
:width: 60% | ||
:align: center | ||
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* - |cover| | ||
- |headshot| | ||
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.. |headshot| image:: https://objects-us-east-1.dream.io/mechmotum/headshot-haitjema-marten.png | ||
:height: 400px | ||
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.. |cover| image:: https://objects-us-east-1.dream.io/mechmotum/thesis-cover-haitjema.png | ||
:height: 400px | ||
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Marten Haitjema successfully defended "`Estimating fall probability in cycling | ||
<http://resolver.tudelft.nl/uuid:b7a3ff8d-de2b-47ee-ac05-61c34c1eac23>`_" on | ||
December 14, 2023. Marten identified the linear dynamics of a robotically | ||
balance assisted bicycle showing that the lean rate feedback controller can | ||
stabilize the bicycle at very low speeds and that the time constant of the | ||
instability is significantly reduced when there is a rider onboard. He then | ||
executed an experiment to determine the probability a rider will fall when | ||
perturbed with different magnitude forces at the handlebar. He showed that the | ||
perturbation magnitude and number of prior perturbations were the most | ||
important factors in determining whether one would fall. Lastly, he used these | ||
probabilities to predict a likely reduction in fall probability when the | ||
balance assist system is activated. | ||
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Marten was co-supervised by Leila Alizadehsaravi (TU Delft) and Jason K. Moore | ||
(TU Delft) with assistance from Maarten Pelgrim (Gazelle), Sierd Heida | ||
(Gazelle), Felix Dauer (Bosch), and David Gabriel (Bosch). Everyone at the | ||
bicycle lab is very proud of Marten and wishes him the best in his next | ||
adventures. |