Reinforcement Learning and Genetic Learning Classifier Systems for Sensor Management and Adaptive Flight Control System

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-02-M-0264
Agency Tracking Number: N023-0175
Amount: $69,828.00
Phase: Phase I
Program: STTR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Nascent Technology Corp.
20 Joyce Rd, Arlington, MA, 02474
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 James Paduano
 President
 (617) 968-4552
 paduano@mit.edu
Business Contact
 Jeffrey Friedland
Title: Senior Contract Administrator
Phone: (617) 253-1441
Email: Jfried@mit.edu
Research Institution
 MIT
 Jeffrey Friedland
 77 Massachusetts Avenue, Room E19-750
Cambridge, MA, 02139
 (617) 253-1441
 Nonprofit college or university
Abstract
The work proposed here will build on current research results to develop and implement algorithms for planning trajectories of multiple Unmanned Aerial Vehicles (UAVs) working cooperatively. Their common mission is to reach a target by flying in an unknownenvironment, which they learn about through onboard sensors. The resulting sensor resource control problem is solved via dynamic programming. The algorithms to be developed and flight tested are envisioned as part of a first-of-a-kind autonomous VTOL UAVsystem being developed by NTC. This system will bring military operations closer to the goal of safe, effective operation in dangerous urban warfare environments. In addition, NTC is pursuing commercial uses of UAVs in education, newscasting, andentertainment.

* information listed above is at the time of submission.

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