25K Halvorsen Loader Automation Report

Abstract

The Air Force Research Laboratory Airbase Technologies Division (AFRL/RXQ) researched robotic technologies to support flightline operations with the goal of improving the efficiency and safety in deployed locations. From February to October 2012, the Robotics Team designed and implemented a robotic control package for autonomous driving of the 25K Halvorsen Loader system. This project focused on robotic technologies for the cargo loader (K-Loader) systems that automate the transportation and handling of palletized cargo between the loading ramps and aircraft. This project was enabled by AFRL/RXQ's extensive repository of autonomous ground vehicle driving behaviors that were adapted to the K-Loader systems including: waypoint driving, obstacle avoidance, traversability grid mapping, and dynamic path planning. On October 25th, AFRL/RXQ conducted a successful demonstration of phase I of the Automated K-Loader system, which concluded the funded work for this effort.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 02, 2013
Accession Number
ADA576962

Entities

People

  • Eduardo Nieto

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Autonomous Systems
  • Cargo Handling
  • Collision Avoidance
  • Computers
  • Control Systems
  • Detection
  • Global Positioning Systems
  • Governments
  • Ground Vehicles
  • Materials Handling Equipment
  • Measurement
  • Teleoperation
  • Unmanned Systems

Readers

  • Logistics and Supply Chain Management.
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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