Experiences with an Interactive Museum Tour-Guide Robot

Abstract

Abstract This article describes the software architecture of an autonomous, interactive tour-guide robot. It presents a modular, distributed software architecture, which integrates localization, mapping, collision avoidance, planning, and various modules concerned with user interaction. The approach does not require any modifications to the environment. To cope with the various challenges in dynamic and ill-structured environments, the software relies on probabilistic computation, on-line learning, any-time algorithms, and distributed control. Special emphasis has been placed on the design of interactive capabilities that appeal to people's intuition. In mid-1997, the robot was successfully deployed in a densely populated museum, demonstrating reliable operation in hazardous public environments, and raising the museum's attendance by more than 50%. In addition, people all over the world controlled the robot through the Web.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA352295

Entities

People

  • Armin B. Cremers
  • Dieter Fox
  • Dirk Haehnel
  • Gerhard Lakemeyer
  • Wolfram Burgard

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Collision Avoidance
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Human-Robot Interaction
  • Motion Planning
  • Neural Networks
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Reasoning
  • Robot Navigation
  • Robots
  • Software Design

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Environmental Impact Assessment (EIA) of Proposed Air Force Base Actions.

Technology Areas

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