https://www.brianzhou.org/coauthors/marius-pruessner Research publications and working papers coauthored with Marius Pruessner. en-us hello@zhoubrian.com (Brian Zhou) hello@zhoubrian.com (Brian Zhou) Sun, 01 Jan 2023 00:00:00 GMT https://ojs.aaai.org/index.php/AAAI/article/view/26863#data-driven-machine-learning-models-for-a-multi-objective-flapping-fin-unmanned-underwater-vehicle-control-system-aaai-conference-on-artificial-intelligence https://ojs.aaai.org/index.php/AAAI/article/view/26863 We develop a search-based inverse model that leverages a kinematics-to-thrust neural network to determine flapping fin kinematics achieving target thrust and smooth transitions, enabling real-time control adjustments for UUV propulsion. Sun, 01 Jan 2023 00:00:00 GMT hello@zhoubrian.com (Brian Zhou) PublicationsAAAI Conference on Artificial Intelligence https://arxiv.org/abs/2310.14135#computational-approaches-for-modeling-power-consumption-on-an-underwater-flapping-fin-propulsion-system-aaai-symposium-on-knowledge-guided-machine-learning https://arxiv.org/abs/2310.14135 We develop a non-dimensional figure of merit (FOM) to evaluate fin designs and kinematics for bio-inspired UUVs, using computational models to predict thrust, power, and efficiency, optimizing gait performance and material selection. Sat, 01 Jan 2022 00:00:00 GMT hello@zhoubrian.com (Brian Zhou) PublicationsAAAI Symposium on Knowledge-Guided Machine Learning