An Agent Driven Human-centric Interface for Autonomous Mobile Robots

Abstract

One of the challenges in implementing a dynamically autonomous mobile robot is achieving a truly human-centric multimodal interface so that human operators can interact with the robot as naturally as they would with another human. Multiple artificial intelligence techniques may be integrated in a distributed computing system through use of an agent-based architecture. In this effort we utilize an agent-based architecture to achieve a multimodal human-centric interface for controlling a dynamically autonomous mobile robot. Capabilities provided by the architecture include natural language understanding, gesture understanding, localization and mapping for accurate navigation, and use of sensors and maps for spatial reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA435154

Entities

People

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

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Automated Speech Recognition
  • Autonomy
  • Collision Avoidance
  • Computer Languages
  • Distributed Computing
  • Environment
  • Grids
  • Language
  • Motion Planning
  • Natural Language Understanding
  • Natural Languages
  • Navigation
  • Reasoning
  • Robots
  • Trajectories

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