Enabling Intra-Robotic Capabilities Adaptation Using an Organization-Based Multiagent System

Abstract

In harsh or dangerous environments, robots can lose function in multiple sensors and effectors over the mission, thus reducing their overall capability. If the capabilities provided by these sensors/effectors are necessary for mission completion, having an adaptive system that can overcome these losses is critical to mission accomplishment. In this paper, we propose a solution using multiple agents, organized as a team, to give robots the ability to adapt and overcome sensor/effector loss. When a sensor/effector is lost, the team can reorganize to provide the robot highest operational utility, given its current capabilities. The robot can adapt to such losses by substituting other sets of sensors/effectors to provide the best overall capability. While the robot may operate at a lower level of effectiveness, it will be able continue its mission, if possible.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA443735

Entities

People

  • Eric Matson
  • Scott Deloach

Organizations

  • Kansas State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Systems
  • Air Force
  • Collision Avoidance
  • Detection
  • Detectors
  • Information Science
  • Information Systems
  • Load Monitoring
  • Losses
  • Multiagent Systems
  • Organizational Realignment
  • Organizational Structure
  • Robots
  • Simulators
  • Software Agents
  • Standards

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - UAVs