Autonomous Military Robotics

  • Vishnu Nath
  • Stephen E. Levinson

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Vishnu Nath, Stephen E. Levinson
    Pages 1-3
  3. Vishnu Nath, Stephen E. Levinson
    Pages 5-16
  4. Vishnu Nath, Stephen E. Levinson
    Pages 17-23
  5. Vishnu Nath, Stephen E. Levinson
    Pages 25-31
  6. Vishnu Nath, Stephen E. Levinson
    Pages 33-38
  7. Vishnu Nath, Stephen E. Levinson
    Pages 39-44
  8. Vishnu Nath, Stephen E. Levinson
    Pages 45-47
  9. Vishnu Nath, Stephen E. Levinson
    Pages 49-53
  10. Vishnu Nath, Stephen E. Levinson
    Pages 55-56

About this book

Introduction

This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investigating this technology to simplify the time, cost and safety measures necessary for training human snipers. These robots are developed by combining crucial aspects of computer science research areas including image processing, robotic kinematics and learning algorithms. The authors explain how a new humanoid robot, the iCub, uses high-speed cameras and computer vision algorithms to track the object that has been classified as a target. The robot adjusts its arm and the gun muzzle for maximum accuracy, due to a neural model that includes the parameters of its joint angles, the velocity of the bullet and the approximate distance of the target. A thorough literature review provides helpful context for the experiments. Of practical interest to military forces around the world, this brief is designed for professionals and researchers working in military robotics. It will also be useful for advanced level computer science students focused on computer vision, AI and machine learning issues.

Keywords

Computer vision Deep learning Defense robots Kinematics Machine learning Military robotics Robotic kinematics iCub

Authors and affiliations

  • Vishnu Nath
    • 1
  • Stephen E. Levinson
    • 2
  1. 1.SeattleUSA
  2. 2.University of Illinois at Urbana-ChampaignUrbanaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05606-7
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-05605-0
  • Online ISBN 978-3-319-05606-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
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