Commanding Heterogeneous Multi-Robot Teams

Abstract

Bolstering up a military unit, e.g., an infantry platoon on a recce mission, by robots often is a double-edged sword. On the one hand, the robots are able to support the soldiers in multiple ways, they can transport bulky equipment, they can enter risky spots, and they may have sensor suits that help to detect dangers of all kinds. On the other hand, robots need to be equipped with energy sources that are cumbersome by themselves. In addition, the robots must be commanded. In order to optimize the support for their unit, it is often necessary to have a team of heterogeneous robots, e.g., UAVs as well as UGVs all with different sensors and specific abilities. Such a team, however, is even harder to command than a team of homogeneous robots. Our research aims at simplifying commanding teams of heterogeneous robots. In order to achieve this aim, we use the standards BML (Battle Management Language) and ROS (Robot Operating System) to communicate with the robot team. BML is used since our approach to commanding robots is from the language point of view very similar to commanding simulated units. Thus, we use language constructions modeled on those we developed as part of the NATO research groups on BML, NATO MSG-048 and NATO MSG-085. Currently, we are testing to use one single mobile GUI, also modeled on our NATO research groups results. That GUI is implemented on a tablet and enables the controller to command a team of two UAVs and four UGVs. All the robots can be equipped with different sensor suits.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA606783

Entities

People

  • Alexander Tiderko
  • Thomas Remmersmann
  • Ulrich Schade

Organizations

  • Fraunhofer Society

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Battle Management
  • Battles
  • Chemical Detectors
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Demonstrations
  • Detectors
  • Graphical User Interface
  • Information Processing
  • Language
  • Lessons Learned
  • Operating Systems
  • Simulations
  • Standards
  • User Interface

Fields of Study

  • Computer science

Readers

  • Robotics and Automation.
  • Strategic Security Studies
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control