Micro Autonomous Systems and Technology (MAST)

Objective

Micro Autonomous Systems and Technology (MAST) Logo

Perform enabling research and transition technology that will enhance warfighter's tactical situational awareness in urban and complex terrain by enabling the autonomous operation of a collaborative ensemble of multifunctional, mobile microsystems.

Overview Briefing








Contact Information

Collaborative Alliance Manager
Dr. Brett Piekarski
brett.h.piekarski.civ@mail.mil
(301) 394-1263

Consortium Manager
Stephen Scalera
stephen.m.scalera@baesystems.com
(603) 885-2407

Consortium Business Manager
Ms. Susan Wright
susan.m.wright@baesystems.com
603-718-0162


Research Area Technical Objectives

  • Microsystem Mechanics - Develop a fundamental understanding of mechanics for small unmanned air and ground vehicles as needed to obtain desired mobility objectives.
  • Microelectronics - Enable power efficient multi-functional sensing, ambulatory control, and reconfigurable networked response in mobile micro-scale platforms
  • Processing for Autonomous Operation - Provide the fundamental underpinnings for autonomous operation of distributed, mobile, multi-modal sensing micro-systems
  • Integration - Develop a fundamental understanding of microsystem architectures through the development and application of modeling and design tools, and through experimentation and analysis

Consortium Members

  • BAE (Industrial Lead)
  • Jet Propulsion Laboratory (Integration Principal Member)
  • University of Maryland (Microsystem Mechanics Principal Member)
  • University of Michigan (Microelectronics Principal Member)
  • University of Pennsylvania (Processing for Autonomous Operation Principal Member)
  • University of California, Berkeley
  • Georgia Institute of Technology
  • Stanford University
  • Massachusetts Institute of Technology
  • Carnegie Mellon University
  • New Mexico State University
  • University of New Mexico
  • University of Texas Austin
  • University of Delaware
  • Drexel University
  • University of California, Merced
  • Texas A&M University
  • KMEL Robotics
 

Last Update / Reviewed: September 2, 2014