Real-World Issues in Warehouse Navigation

Abstract

The MDARS security robotics program has successfully demonstrated the simultaneous control of multiple robots autonomously navigating within an industrial warehouse environment. This real-world warehouse system installation required adapting a navigational paradigm designed for highly structured environments such as office corridors (with smooth walls and regularly spaced doorways) to a semi-structured warehouse environment (with few walls and within which odd-shaped objects unpredictably move about from day to day). A number of challenges some expected and others unexpected were encountered during this transfer of the system to the test/demonstration site. This paper examines these problems (and others previously encountered) in the historical context of the ongoing development of the navigation and other technologies needed to support the operations of a security robotic system and the evolution of these technologies from the research lab to an operational warehouse environment. A key lesson is that a system's robustness can only be ensured by exercising its capabilities in a number of diverse operating environments in order to (1) uncover latent system hardware deficiencies and software implementation errors not manifested in the initial system hardware or initial development environment; and (2) identify sensor modes or processing algorithms tuned too tightly to the specific characteristics of the initial development environment.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1994
Accession Number
ADA422535

Entities

People

  • D. W. Gage
  • G. A. Gilbreath
  • H. R. Everett
  • R. P. Smurlo
  • R. T. Laird

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Code Division Multiple Access
  • Detection
  • Detectors
  • Environment
  • Guidance
  • Information Operations
  • Infrared Detectors
  • Instructions
  • Motion Planning
  • Navigation
  • Position (Location)
  • Robotics
  • Robots
  • Security
  • Sensor Networks
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Logistics and Supply Chain Management.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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