Abstract
Facing the threat of rapidly worsening water quality, there is an urgent need to develop novel approaches of monitoring its global supplies and early detection of environmental fluctuations. Global warming, urban growth and other factors have threatened not only the freshwater supply but also the well-being of many species inhabiting it. Traditionally, laboratory-based studies can be both time and money consuming and so, the development of a real-time, continuous monitoring method has proven necessary. The use of autonomous, self-actualizing entities became an efficient way of monitoring the environment. The Microbial Fuel Cells (MFC) will be investigated as an alternative energy source to allow for these entities to self-actualize. This concept has been improved with the use of various lifeforms in the role of biosensors in a structure called ”biohybrid” which we aim to develop further within the framework of project Robocoenosis relying on animal-robot interaction. We introduce a novel concept of a fully autonomous biohybrid agent with various lifeforms in the role of biosensors. Herein, we identify most promising organisms in the context of underwater robotics, among others Dreissena polymorpha, Anodonta cygnaea, Daphnia sp. and various algae. Special focus is placed on the ”ecosystem hacking” based on their interaction with the electronic parts. This project uses Austrian lakes of various trophic levels (Millstättersee, Hallstättersee and Neusiedlersee) as case studies and as a ”proof of concept”.
Highlights
Communicated by Cesare Stefanini.This article is published as part of the Special Issue on Animal-Robot Interaction and Biohybrid Organisms
The biohybrid entity will be using low-power electronics and energy harvesting performed by the Microbial Fuel Cells (MFC) that have been recognised as a feasible energy source for underwater robotics
Some concepts of Robocoenosis might prove useful for other fields such as classical robotics, passive monitoring and others (Albaladejo et al 2010)
Summary
Viale Rinaldo Piaggio 34, Pontedera, Pisa 56025, Italy 4 Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Studies, Pisa 56127, Italy 5 Unit of Social Ecology, Universit é Libre de Bruxelles, Campus Plaine, Boulevard duTriomphe, CP 231, 1050 Bruxelles, Belgium. Environmental studies are dominated by ex situ investigations including sampling and laboratory analysis (Martins et al 2007; Fai et al 2007; Alexander and Mcmahon 2004). While this approach can give accurate data on specific parameters, it is time, money and labour consuming. The use of robots has become a subject of interest as it allows obtaining
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