Design of a Prototype Autonomous Amphibious WHEGS(Trademark) Robot for Surf-Zone Operations

Abstract

The Small Robot Initiative at the Naval Postgraduate School (NPS) has spent several years in development based on the Foster Miller lemmings platform. This platform, in conjunction with a commercial-off- the-shelf (COTS) control architecture, is capable of autonomous, land based waypoint navigation, self orientation, and rudimentary obstacle avoidance. It can receive waypoint information, manual control input, and transmit video and audio information back to a control station via 802.11 wireless communication. The introduction of the WHEGSTM design, developed at Case Western Reserve University, and a modified version of the COTS control system will provide a platform with greater speed, mobility and versatility. This thesis developed a prototype WHEGSTM vehicle and integrated the control system with improvements in the navigation routine through the addition of a dead reckoning sensor and calculation function. Although the mechanical design proved to be highly inefficient and unable to propel itself, the control system was successful, allowing integration with a more robust mechanical design from Case Western Reserve University. Follow on development and research will lighten the body through the use of carbon fiber and test the robots ability to maneuver effectively in the surf-zone.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA435581

Entities

People

  • Jason L. Ward

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Sensors
  • Space

DTIC Thesaurus Topics

  • C Programming Language
  • Carbon Fibers
  • Collision Avoidance
  • Communication Systems
  • Computer Programming
  • Computer Science
  • Control Surfaces
  • Control Systems
  • Dead Reckoning
  • Detectors
  • Global Positioning Systems
  • Human Factors Engineering
  • Materials
  • Navigation
  • Schools
  • Systems Science
  • United States Naval Academy

Readers

  • Robotics and Automation.
  • Software Engineering.

Technology Areas

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