Robotic Environmental Monitoring Using Gelatin Hydrogels as a Biodegradable Adhesive


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Date

2025

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Web of Science:
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Abstract

Scalable data collection from challenging locations, such as forests or bridges, is essential for biodiversity and environmental monitoring, as well as infrastructure and industrial inspection. Robots can collect this data, by placing sensors with uncrewed aerial vehicles (UAVs), perching UAVs, or climbing robots. All require adhesion to substrates with varying roughnesses, from tree bark to concrete and glass. Unfortunately, common adhesion methods are specialized for specific substrates, don’t generalize to different surfaces, or leave behind harmful residue. This work presents the novel use of gelatin-based hydrogels as biodegradable and water-soluble adhesives for reversible adhesion to different surfaces for robotic environmental monitoring. The hydrogel adheres through heating, attaching, and cooling. The hydrogel is released by heating again, and any residue can be washed away with water. To correctly dimension the adhesive, factors affecting the maximum pull-off force are experimentally characterized. The versatility of the adhesive is shown through adhesion to different surfaces. Only 0.1 g is shown to support at least 20 N. Finally, the adhesion method is validated on three robotic monitoring applications: sensor placement, UAV perching, and a climbing robot. These tests demonstrate the utility of biodegradable gelatin hydrogels as adhesives for robotic monitoring applications in natural and industrial settings.

Publication status

published

Editor

Book title

Volume

Pages / Article No.

2401030

Publisher

Wiley-VCH

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

aerial sensor placement; biodegradable adhesives; climbing robots; drone perching; environmental monitoring; gelatin hydrogels

Organisational unit

09718 - Mintchev, Stefano (ehemalig) / Mintchev, Stefano (former) check_circle

Notes

Funding

186865 - CYbER - CanopY Exploration Robots (SNF)

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