HomeElectronics NewsAvocado Robot Explores Rainforest Treetops

Avocado Robot Explores Rainforest Treetops

The robot abseils and navigates the rainforest canopy for data collection, inspired by spiders, overcoming challenges in tree exploration.

The robot Avocado manoeuvres around branches in the treetops. Credit: Emanuele Aucone.
The robot Avocado manoeuvres around branches in the treetops. Credit: Emanuele Aucone.

The innovative robot Avocado, designed by Swiss National Science Foundation researchers and featuring robust housing resembling the green fruit, can abseil from heights and swing around obstacles. It is intended to autonomously manoeuvre through the rainforest canopy, a challenging habitat, to collect vital data for researchers. As one of the latest inventions in environmental robotics, Avocado combines advanced technology within its uniquely shaped structure, enabling seamless navigation through treetops.

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In the tropical rainforests’ most biodiverse habitats, the dense canopy is teeming with the highest concentration of living organisms. However, exploring these areas poses significant challenges; climbing trees limits research teams to selective data collection. This environment also presents difficulties for current robotic technology. Airborne drones struggle as their rotor blades risk entanglement in the dense foliage, while the varying thicknesses and textures of branches make it a demanding terrain for climbing robots.

Like a spider on a thread

Inspired by spiders that abseil on silk threads, researchers developed this concept. In the test phase, they manually tether the robot by climbing trees. In the future, a drone might act as a transporter, delivering the robot to unreachable areas and securing it to the treetops. 

Once positioned, the Avocado autonomously moves up and down using a winch hidden in its upper housing. Inside its central “bulge,” resembling the stone of an actual avocado, the robot is equipped with two rotors. These rotors provide momentum, enabling Avocado to navigate branches, foliage, and obstacles.

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The robot gathers environmental data through an onboard camera, but this task is complex due to the challenging lighting conditions in treetops, where light and dark rapidly alternate. As the researchers explain, efforts are underway to enhance the camera’s ability to perceive depth even under these fluctuating conditions.

Despite these challenges, the robot has successfully navigated a pre-set indoor obstacle course and completed a test run on an actual tree.

Reference: Steffen Kirchgeorg et al, Design, Modeling, and Control of AVOCADO: A Multimodal Aerial-Tethered Robot for Tree Canopy Exploration, IEEE Transactions on Robotics (2023). DOI: 10.1109/TRO.2023.3334630

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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