brian/

Papers coauthored with Marius Pruessner

Publications

2023
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Marius Pruessner, Brian Zhou. AAAI Conference on Artificial Intelligence, 2023

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.

PDF
2022
Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System

Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System

Brian Zhou, Jason Geder, Alisha Sharma, Julian Lee, Marius Pruessner, Ravi Ramamurti, Kamal Viswanath. AAAI Symposium on Knowledge-Guided Machine Learning, 2022

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.

arXiv