Representational World Modeling

Abstract

The preceding article of this two part series (TRP, Winter 1996, p. 15) examined a very basic reactive control scheme that could be used to intelligently direct the motions of the prototype security robot ROBART I operating in very structured and relatively obstacle-free surroundings. The reactive control approach couples real-time sensor information to motor response without the use of intervening symbolic representations that model the environment. The robot could move as required to any given room simply by maintaining a relative awareness of the room inter-relationships along the hallway, but had no absolute sense of its own location in the X-Y floorplan. In addition, reflexive avoidance of potential obstacles could easily interfere with effective execution of the navigation algorithm, sometimes with non-recoverable results. In this issue we review a simplistic representational world modeling approach originally employed on ROBART II. This much improved second-generation robot was equipped with 132 external sensors, to include a 360-degree navigational sonar array for initial map generation and position location, as well as a collision avoidance sonar array.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA506192

Entities

People

  • Hobart R. Everett

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Arrays
  • Autonomous Systems
  • Collision Avoidance
  • Collisions
  • Dead Reckoning
  • Detectors
  • Motion Detectors
  • Motion Planning
  • Position (Location)
  • Probability
  • Probability Distributions
  • Range Finding
  • Robotics
  • Robots
  • Sonar Arrays
  • Sonar Ranging
  • Unmanned Vehicles

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Vision.

Technology Areas

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