Search Results for author: David Feil-Seifer

Found 4 papers, 1 papers with code

WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education

no code implementations10 Sep 2023 Ponkoj Chandra Shill, Rui Wu, Hossein Jamali, Bryan Hutchins, Sergiu Dascalu, Frederick C. Harris, David Feil-Seifer

This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment.

Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation

no code implementations4 Apr 2020 Elif Ecem Bas, Mohamed A. Moustafa, David Feil-Seifer, Janelle Blankenburg

Hybrid simulation (HS) is a widely used structural testing method that combines a computational substructure with a numerical model for well-understood components and an experimental substructure for other parts of the structure that are physically tested.

BIG-bench Machine Learning

Autonomous UAV Navigation Using Reinforcement Learning

5 code implementations16 Jan 2018 Huy X. Pham, Hung M. La, David Feil-Seifer, Luan V. Nguyen

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available.

Robotics

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