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Ronald Thenius
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Proceedings Papers
. isal2023, ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference6, (July 24–28, 2023) 10.1162/isal_a_00572
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Through the combination of artificial components and living organisms, we can develop a novel methodology for aquatic monitoring. By observing the responses of organisms to changes in their environment, a broad-spectrum sensor was created. One of the organisms broadly used as a biosensor is Daphnia . Its broad distribution and well-studied biology make it a promising element for incorporating into a biohybrid. This Daphnia -based sensor was calibrated against increasing salinity as a preliminary experiment. The swimming behaviour (spinning and movement inhibition) was observed for different salinities. The results showcase significant and observable differences. This and other calibration experiments will be used here as bases for the behavioural results interpretation.
Proceedings Papers
. isal2022, ALIFE 2022: The 2022 Conference on Artificial Life44, (July 18–22, 2022) 10.1162/isal_a_00527
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Biohybrids combine artificial robotic elements with living organisms. These novel technologies allow for obtaining useful data on the environment by implementing organisms as “living sensors”. Natural water resources are under serious ecological threat and there is always a need for new, more efficient methods for aquatic monitoring. Project Robocoenosis introduces the use of biohybrid entities as low-cost and long-term environmental monitoring devices. This will be done by combining lifeforms with technical parts which will be powered with the use of MFCs. This concept will allow for a more well-rounded data collection and provide an insight into the water body with minimal human impact.
Proceedings Papers
Ronald Thenius, Wiktoria Rajewicz, Joshua Cherian Varughese, Sarah Schoenwetter-Fuchs, Farshad Arvin ...
. isal2021, ALIFE 2021: The 2021 Conference on Artificial Life33, (July 18–22, 2021) 10.1162/isal_a_00366
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In the wake of climate change and water quality crisis, it is crucial to find novel ways to extensively monitor the environment and to detect ecological changes early. Biomonitoring has been found to be an effective way of observing the aggregate effect of environmental fluctuations. In this paper, we outline the development of biohybrids which will autonomously observe simple organisms (microorganisms, algae, mussels etc.) and draw conclusions about the state of the water body. These biohybrids will be used for continuous environmental monitoring and to detect sudden (anthropologically or ecologically catastrophic) events at an early stage. Our biohybrids are being developed within the framework of project Robocoenosis, where the operational area planned are Austrian lakes. Additionally, we discuss the possible use of various species found in these waters and strategies for biomonitoring. We present early prototypes of devices that are being developed for monitoring of organisms.
Proceedings Papers
. isal2021, ALIFE 2021: The 2021 Conference on Artificial Life41, (July 18–22, 2021) 10.1162/isal_a_00396
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In a time marked by ecological decay and by the perspective of a severe backlash of this ecosystem decay and climate devastation onto human society, bold moves that employ novel technology to counteract this decline are required. We present a novel concept of employing Artificial Life technology, in the form of cybernetically enhanced bio-hybrid superorganisms as a countermeasure and as a contingency plan. We describe our general conceptual paradigm, consisting of three interacting action plans, namely: (1) Organismic Augmentation; (2) Bio- Hybrid Socialization and (3) Ecosystem Hacking, which together compose a method to create a novel agent for ecosystem stabilization. We demonstrate, through early results from the research project HIVEOPOLIS, a specific way how classic Artificial Life technologies can create such a living, ecologically active and technologically-augmented superorganism that operates outside in the field. These technologies range from cellular automata and biomimetic robots to novel and sustainable biocompatible materials. Aiming at having a real-world impact on the society that relies on our biosphere is an important aspect in Artificial Life research and is fundamental to our methodology to create a physically embodied and useful form of Artificial Life.
Proceedings Papers
. isal2019, ALIFE 2019: The 2019 Conference on Artificial Life634-641, (July 29–August 2, 2019) 10.1162/isal_a_00232
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Mobile sensor networks and robotic swarms are being used for monitoring and exploring environments or environmental events due to the advantages offered by their distributed nature. However, coordination and self-organization of a large number of individuals is often costly in terms of energy and computation power, thus limiting the longevity of the distributed system. In this paper we present a bio-inspired algorithm enabling a robotic swarm to collectively detect anomalies in environmental parameters in a self-organized, reliable and energy efficient manner. Individuals in the swarm communicate via 1-bit signals to collectively confirm the detection of an anomaly while minimizing energy spent for communication and taking measurements. This algorithm is specifically designed for a swarm of underwater robots called “aMussels” to examine a phenomenon referred to as “anoxia” which results in oxygen depletion in the lagoon of Venice. We present the algorithm, conduct simulations and robotic experiments to examine the performance of the algorithm with respect to early detection of anoxia while minimizing energy consumption.
Proceedings Papers
. alif2016, ALIFE 2016, the Fifteenth International Conference on the Synthesis and Simulation of Living Systems330-337, (July 4–6, 2016) 10.1162/978-0-262-33936-0-ch055
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This article presents a novel bio-inspired emergent gradient taxis principle for robot swarms. The underlying communication method was inspired by slime mold and fireflies. Nature showcases a number of simple organisms which can display complex behavior in various aspects of their lives such as signaling, foraging, mating etc. Such decentralized behaviors at the organism level gives rise to an emergent intelligence such as in bees, slime mold, fireflies etc. Chemo taxis and photo taxis are known to be abilities exhibited by simple organisms without elaborate sensory and actuation capabilities. Our novel algorithm combines the underlying principles of slime mold and fireflies to achieve gradient taxis purely based on neighbor-to- neighbor communication. In this article, we present a model of the algorithm and test the algorithm in a multiagent simulation environment.
Proceedings Papers
. ecal2013, ECAL 2013: The Twelfth European Conference on Artificial Life1124-1125, (September 2–6, 2013) 10.1162/978-0-262-31709-2-ch169
Proceedings Papers
. ecal2013, ECAL 2013: The Twelfth European Conference on Artificial Life1041-1048, (September 2–6, 2013) 10.1162/978-0-262-31709-2-ch155
Proceedings Papers
. ecal2013, ECAL 2013: The Twelfth European Conference on Artificial Life830-837, (September 2–6, 2013) 10.1162/978-0-262-31709-2-ch122