Micro Autonomous Systems Research: A Methodology for Quantitative Technology Assessment and Prototyping of Unmanned Vehicles

Abstract

A vital requirement of the modern combat environment is to gain and maintain situational awareness to facilitate effective squad-level decision making. Over previous years, Georgia Institute of Technology (Georgia Tech) has supported the Army Research Laboratory (ARL) in developing design capabilities to assess the operational capability of micro autonomous vehicles to assist at the squad level. In conjunction with Phase I of the contract between ARL and the Aerospace Systems Design Laboratory (ASDL), development of an autonomous vehicle has evolved to concept selection and building, with testing and validation to occur post fabrication. The vehicle will be chosen from a large set of platform and sensor configurations, to be assessed on criteria pertinent to the combat scenario where it will be implemented. The primary means for defining design selection criteria will be compliance with the Department of Defense Architecture Framework (DoDAF), which serves as the Operational Architectural definition for the team. This framework essentially relates the high level capabilities of any vehicle to subsequent activities, and in turn to specific functions. Capabilities, activities, and functions of importance are subjectively ranked for any specific mission, such that the need from a vehicle will change depending upon the medium of operation. The vehicle to be designed will have a primary mission of interior building reconnaissance (IBR) in a benign, urban workspace. However, there are multiple potential missions requiring additive capabilities, in which the vehicle may operate. Thus, the design chosen must not only fulfill the needs of interior reconnaissance, but must also address, at least at a high level, the ability to operate in diverse environments.

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Document Details

Document Type
Technical Report
Publication Date
Jun 06, 2014
Accession Number
AD1049684

Entities

People

  • Arturo Santa-ruiz
  • Dimitri Mavris
  • Jason Connolly
  • Pete Jr Mangum
  • Sean Lawlor
  • Tejas Kulkarni
  • Zohaib Mian

Organizations

  • Aerospace Systems Design Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Autonomous Navigation
  • Autonomous Systems
  • Autonomous Vehicles
  • Collision Avoidance
  • Contracts
  • Department Of Defense
  • Experimental Data
  • Ground Control Stations
  • Measurement
  • Navigation
  • Simultaneous Localization And Mapping
  • Situational Awareness
  • Systems Engineering
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Military Science and Technology Research and Modernization.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space