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Picture of Jaime Junell, MSc.
PhD Students

Jaime Junell, MSc.

  • PhD student

Project Description

For highly non-linear systems or variable environments it is challenging and costly to create an accurate mathematical model for autonomously controlled flight. One alternative method is to bypass the need for a model and instead directly learn desirable behaviors of a controller. My research involves using reinforcement learning to create a controller for MAVs that can make intelligent decisions in an unpredictable environment.

Publications

  • Junell, J., Knudson, M. and Tumer, K., “Optimizing Sensor / Neuro-Controller Pairings for Effective Navigation,” Artificial Neural Networks in Engineering (ANNIE), pg. 19-26, St. Louis MO, November 2008
  • Junell, J. “Adaptive Methods for Robust Commercial Vehicle Control” Master of Science Thesis, Mechanical Engineering, Oregon State University, 2009
  • Junell, J. and Tumer, K. “Robust predictive cruise control for commercial vehicles” International Journal of General Systems, 42(7): pp 776-792, 04 July 2013<
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About

C&S aims to be a leading research group in the integration, development and testing of new theories on control, autonomous and cognitive systems (with and without human elements), while addressing industrial and societal needs.

Contact

Section Control & Simulation
Department Control & Operations
Faculty of Aerospace Engineering
Delft University of Technology

Kluyverweg 1
2629 HS, Delft

+31 (0)15 27 89471