The DelFly, Softcover reprint of the original 1st ed. 2016
Design, Aerodynamics, and Artificial Intelligence of a Flapping Wing Robot

This book introduces the topics most relevant to autonomously flying flapping wing robots: flapping-wing design, aerodynamics, and artificial intelligence. Readers can explore these topics in the context of the "Delfly", a flapping wing robot designed at Delft University in The Netherlands.

How are tiny fruit flies able to lift their weight, avoid obstacles and predators, and find food or shelter? The first step in emulating this is the creation of a micro flapping wing robot that flies by itself. The challenges are considerable: the design and aerodynamics of flapping wings are still active areas of scientific research, whilst artificial intelligence is subject to extreme limitations deriving from the few sensors and minimal processing onboard.

This book conveys the essential insights that lie behind success such as the DelFly Micro and the DelFly Explorer. The DelFly Micro, with its 3.07 grams and 10 cm wing span, is still the smallest flapping wing MAV in the world carrying a camera, whilst the DelFly Explorer is the world's first flapping wing MAV that is able to fly completely autonomously in unknown environments. The DelFly project started in 2005 and ever since has served as inspiration, not only to many scientific flapping wing studies, but also the design of flapping wing toys.

The combination of introductions to relevant fields, practical insights and scientific experiments from the DelFly project make this book a must-read for all flapping wing enthusiasts, be they students, researchers, or engineers.

1 Introduction

Part I Design and Materials
2 Introduction to FlappingWing Design
3 Mechanical design and materials
4 Electronics

Part II Aerodynamics
5 Introduction to fixed and flapping wing aerodynamics
6 Research on the DelFly aerodynamics

Part III Autonomous Flight
7 Introduction to autonomous flight
8 Monocular obstacle detection
9 Optical flow based turning logic
10 Autonomous flight with onboard stereo vision

Part IV Conclusions
11 Conclusions and future research

A DelFly Versions

Glossary

Index

Guido de Croon: Received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. His research interest lies with computationally efficient algorithms for robot autonomy, with a particular focus on computer vision. Since 2008 he has worked on algorithms for achieving autonomous flight with small and light-weight flying robots, such as the DelFly. In 2011-2012, he was a research fellow in the Advanced Concepts Team of the European Space Agency, where he studied topics such as biologically inspired algorithms for extraterrestrial landing scenarios and where he introduced “Astro Drone”, the first scientific crowd sourcing experiment gathering robotic data. Currently, he is assistant-professor at the Micro Air Vehicle lab (MAV-lab) of Delft University of Technology.

Bart Remes:  Received his M.Sc. in Aerospace Engineering at the Technical University of Delft on the topic of Aerospace for Sustainable Engineering and Technology. He then joined the Aerospace Software and Technologies Institute and was involved in the design and construction of various

Reveals insights into the creation of intelligent flapping wing robots

Supports readers with layman introductions to design, aerodynamics, and artificial intelligence

Explores the emergence of smart flapping wing robots

Provides a multidisciplinary view on flapping wing robots

Includes supplementary material: sn.pub/extras