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Alan Jennings
PhD Candidate at University of Dayton, Graduating 2012
Research Assistant at the Air Force Institute of Technology |
I am currently a PhD Fellow for the Ohio Space Grant Consortium and studying how to help robots learn.
I also develop a research lab at the Air Force Institute of Technology
using non-contact
measurements on of lightweight structures undergoing large deformations.
Finally, I also get to help lead the basic circuits lab for Electrical Engineering and non-EE students.
I don't plan on updating this website often, so if you want to see something
specific, please send me a note:
alan&jennings&ohio@hotmail.com (remove ampersands for address).
• To find out more about me, check out the
About Me page for my viewpoints,
history, interest and other personal information.
• My Research presents the aim of my research: how can robots and computers learn like we can.
**My Research Has Now Been Updated, Jan 2012!**
• My accomplishments and publications are at Resume and Publications.
• The most interesting page should be, but isn't, the Projects page where I show some ideas that I am, or have worked on.
• For past presentations that I've made, please visit the Presentations page.
• Finally, the Links pages offers directions to websites that I find valuable.
Research Goals:
Computers typically learn worse then that fly that keeps bumping into the wall again and again...
I hope to develop an algorithm that can continue to improve with experience, much the same way an apprentice grows to a
journeyman and master.
Much of 'intelligence' is function approximation and inverse function creation:
being able to say what will happen when you do something and knowing what you need to do to get your desired outcome.
To this end, I have one algorithm that identifies clusters of inverse function given a space
and another that continually increase resolution with experience.
What I'm not pursuing is inference\reasoning (applying your experience to novel circumstances), because there's no right answer.
Because it's a novel circumstance, you have no way of knowing what the salient similarities are.