6 citations · 7 across the 2 of their papers we have counts for
4 papers
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
Julian Lee, Kamal Viswanath, Jason Geder +3
Flapping-fin unmanned underwater vehicle (UUV) propulsion systems provide high maneuverability for naval tasks such as surveillance and terrain exploration. Recent work has explore…
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
Alisha Sharma, Ryan Nett, Jonathan Ventura
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…
Evaluation of Surrogate Models for Multi-fin Flapping Propulsion Systems
Kamal Viswanath, Alisha Sharma, Saketh Gabbita +3
The aim of this study is to develop surrogate models for quick, accurate prediction of thrust forces generated through flapping fin propulsion for given operating conditions and fi…
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video
Alisha Sharma, Jonathan Ventura
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…