Brian Zhou - Jason Geder Coauthored Research https://www.brianzhou.org/coauthors/jason-geder Research publications and working papers coauthored with Jason Geder. en-us hello@zhoubrian.com (Brian Zhou) hello@zhoubrian.com (Brian Zhou) Mon, 01 Jan 2024 00:00:00 GMT https://www.mdpi.com/2313-7673/9/7/434#insights-into-flexible-bioinspired-fins-for-unmanned-underwater-vehicle-systems-through-deep-learning-neurips-workshop-on-machine-learning-and-the-physical-sciences Insights into Flexible Bioinspired Fins for Unmanned Underwater Vehicle Systems through Deep Learning https://www.mdpi.com/2313-7673/9/7/434 We introduce forward neural network models that integrate fin stiffness to predict UUV kinematics, thrust, and efficiency, improving performance in bio-inspired fin designs. Mon, 01 Jan 2024 00:00:00 GMT hello@zhoubrian.com (Brian Zhou) PublicationsNeurIPS Workshop on Machine Learning and the Physical Sciences https://www.mdpi.com/2313-7673/9/7/434#insights-into-flexible-bioinspired-fins-for-unmanned-underwater-vehicle-systems-through-deep-learning-biomimetics Insights into Flexible Bioinspired Fins for Unmanned Underwater Vehicle Systems through Deep Learning https://www.mdpi.com/2313-7673/9/7/434 We introduce forward neural network models that integrate fin stiffness to predict UUV kinematics, thrust, and efficiency, improving performance in bio-inspired fin designs. Mon, 01 Jan 2024 00:00:00 GMT hello@zhoubrian.com (Brian Zhou) PublicationsBiomimetics https://ojs.aaai.org/index.php/AAAI/article/view/30538#power-aware-inverse-search-machine-learning-for-low-resource-multi-objective-unmanned-underwater-vehicle-control-aaai-conference-on-artificial-intelligence Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control https://ojs.aaai.org/index.php/AAAI/article/view/30538 Developed power-aware machine learning models for underewater vehicle control, improving efficiency while maintaining performance. Mon, 01 Jan 2024 00:00:00 GMT hello@zhoubrian.com (Brian Zhou) PublicationsAAAI Conference on Artificial Intelligence 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 Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System 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 Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System 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