Robohub.org
 

Special drone collects environmental DNA from trees


by
27 January 2023



share this:

By Peter Rüegg

Ecologists are increasingly using traces of genetic material left behind by living organisms left behind in the environment, called environmental DNA (eDNA), to catalogue and monitor biodiversity. Based on these DNA traces, researchers can determine which species are present in a certain area.

Obtaining samples from water or soil is easy, but other habitats – such as the forest canopy – are difficult for researchers to access. As a result, many species remain untracked in poorly explored areas.

Researchers at ETH Zurich and the Swiss Federal Institute for Forest, Snow and Landscape Research WSL, and the company SPYGEN have partnered to develop a special drone that can autonomously collect samples on tree branches.

(Video: ETH Zürich)

How the drone collects material

The drone is equipped with adhesive strips. When the aircraft lands on a branch, material from the branch sticks to these strips. Researchers can then extract DNA in the lab, analyse it and assign it to genetic matches of the various organisms using database comparisons.

But not all branches are the same: they vary in terms of their thickness and elasticity. Branches also bend and rebound when a drone lands on them. Programming the aircraft in such a way that it can still approach a branch autonomously and remain stable on it long enough to take samples was a major challenge for the roboticists.

“Landing on branches requires complex control,” explains Stefano Mintchev, Professor of Environmental Robotics at ETH Zurich and WSL. Initially, the drone does not know how flexible a branch is, so the researchers fitted it with a force sensing cage. This allows the drone to measure this factor at the scene and incorporate it into its flight manoeuvre.

Scheme: DNA is extracted from the collected branch material, amplified, sequenced and the sequences found are compared with databases. This allows the species to be identified. (Graphic: Stefano Mintchev / ETH Zürich)

Preparing rainforest operations at Zoo Zurich

Researchers have tested their new device on seven tree species. In the samples, they found DNA from 21 distinct groups of organisms, or taxa, including birds, mammals and insects. “This is encouraging, because it shows that the collection technique works,“ says Mintchev, who co-​authored the study that has appeared in the journal Science Robotics.

The researchers now want to improve their drone further to get it ready for a competition in which the aim is to detect as many different species as possible across 100 hectares of rainforest in Singapore in 24 hours.

To test the drone’s efficiency under conditions similar to those it will experience at the competition, Mintchev and his team are currently working at the Zoo Zurich’s Masoala Rainforest. “Here we have the advantage of knowing which species are present, which will help us to better assess how thorough we are in capturing all eDNA traces with this technique or if we’re missing something,“ Mintchev says.

For this event, however, the collection device must become more efficient and mobilize faster. In the tests in Switzerland, the drone collected material from seven trees in three days; in Singapore, it must be able to fly to and collect samples from ten times as many trees in just one day.

Collecting samples in a natural rainforest, however, presents the researchers with even tougher challenges. Frequent rain washes eDNA off surfaces, while wind and clouds impede drone operation. “We are therefore very curious to see whether our sampling method will also prove itself under extreme conditions in the tropics,” Mintchev says.



tags:


ETH Zurich is one of the leading international universities for technology and the natural sciences.
ETH Zurich is one of the leading international universities for technology and the natural sciences.





Related posts :



Vine-inspired robotic gripper gently lifts heavy and fragile objects

  23 Jan 2026
The new design could be adapted to assist the elderly, sort warehouse products, or unload heavy cargo.

Robot Talk Episode 140 – Robot balance and agility, with Amir Patel

  16 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Amir Patel from University College London about designing robots with the agility and manoeuvrability of a cheetah.

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

and   14 Jan 2026
Find out more about the forthcoming changes to the RoboCup soccer leagues.

Robots to navigate hiking trails

  12 Jan 2026
Find out more about work presented at IROS 2025 on autonomous hiking trail navigation via semantic segmentation and geometric analysis.

Robot Talk Episode 139 – Advanced robot hearing, with Christine Evers

  09 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound.

Meet the AI-powered robotic dog ready to help with emergency response

  07 Jan 2026
Built by Texas A&M engineering students, this four-legged robot could be a powerful ally in search-and-rescue missions.

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

  31 Dec 2025
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

Robohub highlights 2025

  29 Dec 2025
We take a look back at some of the interesting blog posts, interviews and podcasts that we've published over the course of the year.



 

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