Human Centered, Variable Initiative Control of Complex Automata-Teams

Abstract

A program summary for the Cornell led team in the DARPA MICA program is presented. The solution includes a hierarchical control approach to semi-autonomous systems, research at several levels, including estimation and path planning, strategic and resource planning, and operator interface and decision making. The approach is unique in its use of formal techniques at the lower levels of the hierarchy, optimized/randomized techniques at the higher levels, each with appropriate information fusion and requirements up the hierarchy. Accomplishments are shown in the areas of Streamline Path Planning/Extensions, Cooperative reconnaissance (ISR, RoboFlag system: adoption within community for basic, semi-autonomous research, RoboFlag HitL Studies; initial modeling results, Architecture for Evolution of Pre-planned Strategies and Resource Deployment using GP, Team Tasking using tiered optimization.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2004
Accession Number
ADA425549

Entities

People

  • Mark Campbell

Organizations

  • Cornell University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Collision Avoidance
  • Complex Systems
  • Computer Programming
  • Control Systems
  • Detection
  • Engineering
  • Estimators
  • Hierarchies
  • Motion Planning
  • Optimization
  • Situational Awareness
  • Unmanned Systems

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Space
  • Space - Spacecraft Maneuvers