Agent-based Multimodal Interface for Dynamically Autonomous Mobile Robots

Abstract

Agents provide a flexible and scalable method of integrating artificial intelligence techniques on a single cohesive distributed computing system. We have designed and implemented an agent-based interface for autonomous control, and for providing web-based information retrieval, for a dynamically autonomous mobile robot. The robot implements and integrates a variety of artificial intelligence techniques including a multimodal interface that allows natural language understanding, gesture interpretation, simultaneous localization and mapbuilding, object identification and spatial reasoning. The agent-based interface augments these capabilities by providing a method of controlling the robot via the CoABS grid, and by providing the means for the robot/operator to request information available through the grid or through the web.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA434975

Entities

People

  • Alan Schultz
  • Dennis J. Perzanowski
  • Donald Sofge
  • Magdalena Bugajska
  • William Adams

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Collision Avoidance
  • Computer Languages
  • Computer Programs
  • Computers
  • Environment
  • Identification
  • Language
  • Motion Planning
  • Natural Language Understanding
  • Natural Languages
  • Navigation
  • Personal Digital Assistants
  • Reasoning
  • Recognition
  • Robots

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval
  • Autonomy
  • Autonomy - Autonomous System Control