Magic 2010 RASR Team

Abstract

The RASR team developed a system for the coordination of groups of unmanned ground vehicles (UGVs) that can execute a variety of military relevant missions in dynamic urban environments. Historically, UGV operations have been primarily performed via tele-operation, requiring at least one dedicated operator per robot, and requiring substantial real-time bandwidth to accomplish those missions. Our team goal was to develop a system that can provide long term value to the war-fighter, utilizing MAGIC 2010 as a stepping stone. To that end, we self-imposed a set of constraints that would force us to develop technology that could readily be used by the military in the near term: (1) Use a relevant (deployed) platform, (2)Use low-cost, reliable sensors, (3) Develop an expandable and modular control system with innovative software algorithms to minimize the computing footprint required, (4) Minimize required communications bandwidth and handle communication losses and, (5) Minimize additional power requirements to maximize battery life and mission duration. The RASR Team (Reconnaissance and Autonomy for Small Robots) was selected to be among the 6 finalists for MAGIC 2010. The RASR Team placed third in the final competition. The technology developed by Robotic Research will be further advanced in order to be transitioned to small unmanned ground vehicles for US military.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 2010
Accession Number
ADA534033

Entities

People

  • Alberto Lacaze
  • Karl Murphy
  • Mark Del Giorno

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Systems
  • Autonomy
  • Competition
  • Control Systems
  • Detection
  • Environment
  • Ground Vehicles
  • Human-Machine Interfaces
  • Motion Planning
  • Navigation
  • Reconnaissance
  • Software Design
  • Teleoperation
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Vehicles

Readers

  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - UAVs