Robohub.org
 

Fully autonomous flapping-wing micro air vehicle weighs about as much as 4 sheets of A4 paper


by
16 December 2013



share this:
DelFlyExplorerInFlight
The DelFly Explorer, a flapping wing MAV equipped with a 4-gram stereo vision system that can fly completely by itself in unknown, cluttered environments. © Delft University of Technology.

The DelFly Explorer is the first flapping wing Micro Air Vehicle (MAV) that is able to fly with complete autonomy in unknown environments. Weighing just 20 grams and with a wingspan of 28cm, it is equipped with an onboard stereo vision system. The DelFly Explorer can perform an autonomous take-off, keep its height, and avoid obstacles for as long as its battery lasts (~9 minutes). All sensing and processing is performed on board, so no human or offboard computer is in the loop.

Inspired by flying animals, flapping-wing MAVs are highly manoeuvrable, able to quickly transition between multiple flight regimes (such as between hover and forward flying), and are robust to collisions. Their low weight and unobtrusive appearance, as well their ability to fly at low speeds and operate quietly, make them more suitable for use indoors or in the presence of humans than many other aerial platforms. There are many future applications, such as the detection of ripe fruit in green houses, for which flapping wing MAVs would need to fly without human intervention.

However, designing flapping-wing MAVs that are capable of autonomous flight is challenging, because of their small scale and extremely limited payload capabilities. Therefore, previous work in this area either focused on sub-tasks (such as led-following) or out-sourced parts of the sensing and control to external cameras and/or computers.

We achieved the fully autonomous flight of the DelFly Explorer by resolving the following four main challenges:

  1. Onboard sensing/processing: We have developed a 4-gram onboard stereo vision system (2 cameras + processor) and 1-gram onboard autopilot with processor, barometer, accelerometers and gyros.
  2. Vision algorithms: We developed a new approach to purposive vision, in which the vision algorithms make use of sub-sampling and extract only as many image samples as necessary for subsequent control. As a result, all vision algorithms run at frame rate. Specifically, we designed efficient vision algorithms that can cope with the absence of visual texture, as often happens in indoor environments (see the empty walls in the lecture room as an example). The algorithms also deal with the distortions that are introduced by the combination of the flapping motion and the rolling shutter cameras.
  3. Control algorithms: We devised a control algorithm that ensures obstacle-free flight by construction. It takes into account the fact that the DelFly Explorer cannot hover in place by always ensuring an obstacle-free region in which the DelFly can turn around. The height control is based on the onboard barometer.
  4. Payload capability: Compared to its predecessor (the 16-gram, 28cm wingspan flapping-wing DelFly II), the Explorer’s payload capability was increased enough to carry the stereo vision system and autopilot. This was achieved both by a redesign of the wings and by a reduction in the number of coils in the brushless motors.

We have performed experiments in various indoor spaces, ranging from lecture rooms to office rooms and lab spaces. Below, you see a part of an autonomous flight in a lecture room at TU Delft. The image has been made by retaining the motion regions every 10 frames in the experimental video. The original experimental video can be seen here.

DelFly_Collage
A small part of the DelFly Explorer’s trajectory during a 9-minute autonomous flight. It runs efficient vision and control algorithms on board in order to avoid obstacles in the environment. © Delft University of Technology.

The current algorithms allow collision-free flight, but do not yet form a complete solution to autonomous exploration. We are working to extend the DelFly’s exploration capabilities so that it can pass through open doors or windows, which it currently avoids.

For more information and videos, please visit the DelFly website.

Reference

“Autonomous Flight of a 20-gram Flapping Wing MAV with a 4-gram Onboard Stereo Vision System”, by C. De Wagter, S. Tijmons, B.D.W. Remes, and G.C.H.E. de Croon, (submitted).

Team

Christophe De Wagter
Sjoerd Tijmons
Bart Remes
Guido de Croon

Contact

g.c.h.e.decroon@tudelft.nl

If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , ,


Guido de Croon is Full Professor at the Micro Air Vehicle lab of Delft University of Technology in the Netherlands.
Guido de Croon is Full Professor at the Micro Air Vehicle lab of Delft University of Technology in the Netherlands.





Related posts :



Women in robotics you need to know about 2025

  06 Oct 2025
This global list celebrates women's impact across the robotics ecosystem and globe.

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

  03 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Frances Zhu from the Colorado School of Mines about intelligent robotic systems for space exploration.

Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence