Bio-inspired Flying Robots
eBook - PDF

Bio-inspired Flying Robots

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Bio-inspired Flying Robots

About this book

This book demonstrates how bio-inspiration can lead to fully autonomous flying robots without relaying on external aids. Most existing aerial robots fly in open skies, far from obstacles, and rely on external beacons – mainly GPS – to localize and navigate. However, these robots are not able to fly at low altitude or in confined environments, and yet this poses absolutely no difficulty to insects. Indeed, flying insects display efficient flight control capabilities in complex environments despite their limited weight and relatively tiny brain size.From sensor suite to control strategies, the literature on flying insects is reviewed from an engineering perspective in order to extract useful principles that are then applied to the synthesis of artificial indoor flyers. Artificial evolution is also utilized to search for alternative control systems and behaviours that match the constraints of small flying robots. Specifically, the basic sensory modalities of insects, vision, gyroscopes and airflow sense, are applied to develop navigation controllers for indoor flying robots. These robots are capable of mapping sensor information onto actuator commands in real time to maintain altitude, stabilize the course and avoid obstacles. The most prominent result of this novel approach is a 10-gram microflyer capable of fully autonomous operation in an office-sized room using fly-inspired vision, inertial and airspeed sensors.

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Yes, you can access Bio-inspired Flying Robots by Jean-Christophe Zufferey in PDF and/or ePUB format, as well as other popular books in Medicina & Biotecnología en medicina. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Preface
  2. Foreword
  3. Contents
  4. 1 Introduction
  5. 2 Related Work
  6. 3 Flying Insects
  7. 4 Robotic Platforms
  8. 5 Optic Flow
  9. 6 Optic-flow-based Control Strategies
  10. 7 Evolved Control Strategies
  11. 8 Concluding Remarks
  12. Bibliography
  13. Index