Coordinating Robot Teams for Disaster Relief

Abstract

To perform complex tasks, a team of robots requires both reactive and deliberative planning. For reactive control, a restricted variant of Linear Temporal Logic called General Reactivity(1) can be used to synthesize correct-by-construction controllers in polynomial time, but they often ignore time and resource constraints to maintain tractable synthesis. For deliberation, hierarchical planning can be used to reason about time and resources. However, the coordination of reactive control and deliberation remains a challenge, which we accomplish through a set of Coordination Variables. We integrate these two approaches in the Situated Decision Process (SDP), a system that we are developing. The SDP will allow an Operator to control a team of semi-autonomous vehicles performing information gathering tasks for Humanitarian Assistance / Disaster Relief operations. We demonstrate that the SDP responds to a dynamic, open world while ensuring that vehicles eventually perform their commanded actions.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2015
Accession Number
ADA617683

Entities

People

  • Benjamin N. Johnson
  • Briana Wellman
  • Bryan Auslander
  • David W. Aha
  • Mark Roberts
  • Thomas Apker

Organizations

  • United States Assistant Secretary of Defense

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Autonomous Vehicles
  • Computer Science
  • Computers
  • Disasters
  • First Responders
  • Humanitarian Assistance
  • Information Systems
  • Mobile Phones
  • Models
  • Motion Planning
  • Multiagent Systems
  • Robotics
  • Robots
  • Simulations
  • Vehicles

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control