no code implementations • 14 Sep 2022 • Julian Lee, Kamal Viswanath, Jason Geder, Alisha Sharma, Marius Pruessner, Brian Zhou
Recent work has explored the use of time-series neural network surrogate models to predict thrust from vehicle design and fin kinematics.
1 code implementation • 14 Oct 2020 • 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.
no code implementations • 31 Oct 2019 • Kamal Viswanath, Alisha Sharma, Saketh Gabbita, Jason Geder, Ravi Ramamurti, Marius Pruessner
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 fin geometries.
1 code implementation • 4 Jan 2019 • Alisha Sharma, Jonathan Ventura
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video.