Manned-Unmanned Collaborative Autonomy

Abstract

Currently most autonomous unmanned systems, from robots for IED operations to sophisticated drones, are actually operated with supervised autonomy with one or more humans "in-the-loop" for every unmanned system. This prevents humans from effectively performing their mission while also directing the operations of unmanned teammates, thereby negating the force multiplication potential of robotics. The Manned-Unmanned Collaborative Autonomy program will develop concepts and implementing software for a truly shared autonomy - human "on-the-loop" - in which multiple unmanned systems can perform missions with minimal guidance from, and limited cognitive interference with, a single human operator in conventional arenas, such as air or ground, as well as atypical environments such as littoral waters. Approaches to develop shared autonomy will build on past successes in a range of efforts, including pilot-on-the-loop simulations under the past DARPA Unmanned Combat Air Rotor (UCAR) and Unmanned Combat Air Vehicle (UCAV) efforts as well as the significant progress made in DARPA's Warfighter Under Stress program.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2014
Source ID
cac4670f3e42a97ac363432e46453945

Tags

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Joint Military Operations and Doctrine.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs

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