Proposal Description: Trust Based Optimal Guidance and Navigation for Multiple Manned-Unmanned Vehicles

Abstract

This project aims at establishing trust-based optimal control, dynamic pairing and real-time scheduling algorithms for multiple manned and unmanned vehicles teaming as a foundation for next generation survivable systems. There are 4 tasks for this project: 1) PI will investigate on how to navigate a team of vehicles passing through desired routes and reduce human workload by choosing optimal autonomy level and designing optimal control law simultaneously. 2) PI will explore and establish quantitative measures for human workload and performance. 3) PI will investigate simultaneously trust-based optimal switching rules and switching control laws to achieve balanced human workload and vehicle navigation accuracy. 4) PI will create dynamic pairing and real-time scheduling for multiple manned-unmanned vehicles teaming.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2017
Accession Number
AD1059150

Entities

People

  • Yue Wang

Organizations

  • Clemson University

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Algorithms
  • Autonomous Navigation
  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Closed Loop Systems
  • Control Systems
  • Department Of Defense
  • Engineering
  • Guidance
  • Mathematics
  • Navigation
  • Robotic Swarms
  • Robotics
  • Robots
  • Scheduling (Production)
  • Simulations
  • Statistical Analysis
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles
  • Workload

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction