Frontiers in Robotics and AI (Oct 2022)

Transient bio-inspired gliders with embodied humidity responsive actuators for environmental sensing

  • Fabian Wiesemüller,
  • Fabian Wiesemüller,
  • Ziwen Meng,
  • Yijie Hu,
  • Yijie Hu,
  • Andre Farinha,
  • Yunus Govdeli,
  • Pham H. Nguyen,
  • Gustav Nyström,
  • Gustav Nyström,
  • Mirko Kovač,
  • Mirko Kovač

DOI
https://doi.org/10.3389/frobt.2022.1011793
Journal volume & issue
Vol. 9

Abstract

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Collecting temporal and spatial high-resolution environmental data can guide studies in environmental sciences to gain insights in ecological processes. The utilization of automated robotic systems to collect these types of data can maximize accuracy, resilience, and deployment rate. Furthermore, it reduces the risk to researchers deploying sensors in inaccessible environments and can significantly increase the cost-effectiveness of such studies. The introduction of transient robotic systems featuring embodied environmental sensors pushes towards building a digital ecology, while introducing only minimal disturbance to the environment. Transient robots made from fully biodegradable and non-fossil based materials, do not develop into hazardous e-waste at the end of their lifetime and can thus enable a broader adoption for environmental sensing in the real world. In this work, our approach towards the design of transient robots includes the integration of humidity-responsive materials in a glider, which is inspired by the Alsomitra macrocarpa seed. The design space of these gliders is explored and their behavior studied numerically, which allows us to make predictions on their flight characteristics. Results are validated against experiments, which show two different gliding behaviors, that can help improve the spread of the sensors. By tailoring the Cellulose-Gelatin composition of the humidity actuator, self-folding systems for selective rainwater exposure can be designed. The pH sensing layer, protected by the actuator, provides visual feedback on the pH of the rainwater. The presented methods can guide further concepts developing transient aerial robotic systems for sustainable, environmental monitoring.

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