Integrating Robotic Sensor and Effector Capabilities with Multi-Agent Organizations

Abstract

Robots possess many effectors and sensors of various capability. It is often difficult, not only to integrate these numerous capabilities, but also to organize them to accomplish a set of goals or tasks. Even more difficult is how to reorganize on the condition that a sensor/effector is damaged or incapacitated during operation. In this paper, the authors show how an organization-based multi-agent system (OMAS) adapts to control the sensors and effectors within a robot. The OMAS can also be extended to model the sensor and effectors for a team of cooperative robots. The use of integrating sensors/effectors via an OMAS will produce a self-reorganizing, fault tolerant control architecture capable of allowing a robot, or a team of robots, to overcome obstacles and faults within dynamic domains where sensor and effector failure rates may be high. Another positive effect of an OMAS is simplification of system complexity where a non-trivial number of sensors and effectors exist.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA446466

Entities

People

  • Eric Matson
  • Scott Deloach

Organizations

  • Kansas State University

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Control Systems
  • Detectors
  • Engineering
  • Fault Tolerance
  • Information Operations
  • Information Systems
  • Integrators
  • Load Monitoring
  • Multiagent Systems
  • Organizational Realignment
  • Organizational Structure
  • Robotics
  • Robots
  • Standards
  • Transitions

Readers

  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control