Lifeforms potentially useful for automated underwater monitoring systems

Rajewicz, Wiktoria; Romano, Donato; Varughese, Joshua Cherian; Schmickl, Thomas; Thenius, Ronald

doi:10.1162/isal_a_00527

Cited by 2 publications

(1 citation statement)

References 11 publications

(11 reference statements)

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“…Bioindicators encompass living organisms like plants, plankton, animals, and microbes, which are employed to evaluate the ecological wellbeing of the natural surroundings ( Holt and Miller, 2011 ). For instance, in the project Robocoenosis, Zebra mussels and Daphnia were used as living sensors to monitor natural underwater environments ( Rajewicz et al, 2022 ). This strategy reduces reliance on non-biodegradable components within the robot’s sensing system.…”

Section: Future Trends In Bioinspired Robotics Benefit Nature Conserv...mentioning

confidence: 99%

Bioinspired robots can foster nature conservation

Chellapurath,

Khandelwal,

Schulz

2023

Front. Robot. AI

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We live in a time of unprecedented scientific and human progress while being increasingly aware of its negative impacts on our planet’s health. Aerial, terrestrial, and aquatic ecosystems have significantly declined putting us on course to a sixth mass extinction event. Nonetheless, the advances made in science, engineering, and technology have given us the opportunity to reverse some of our ecosystem damage and preserve them through conservation efforts around the world. However, current conservation efforts are primarily human led with assistance from conventional robotic systems which limit their scope and effectiveness, along with negatively impacting the surroundings. In this perspective, we present the field of bioinspired robotics to develop versatile agents for future conservation efforts that can operate in the natural environment while minimizing the disturbance/impact to its inhabitants and the environment’s natural state. We provide an operational and environmental framework that should be considered while developing bioinspired robots for conservation. These considerations go beyond addressing the challenges of human-led conservation efforts and leverage the advancements in the field of materials, intelligence, and energy harvesting, to make bioinspired robots move and sense like animals. In doing so, it makes bioinspired robots an attractive, non-invasive, sustainable, and effective conservation tool for exploration, data collection, intervention, and maintenance tasks. Finally, we discuss the development of bioinspired robots in the context of collaboration, practicality, and applicability that would ensure their further development and widespread use to protect and preserve our natural world.

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Section: Future Trends In Bioinspired Robotics Benefit Nature Conserv...mentioning

confidence: 99%

Bioinspired robots can foster nature conservation

Chellapurath,

Khandelwal,

Schulz

2023

Front. Robot. AI

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Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies

Fazzari,

Carrara,

Falchi

et al. 2023

Int. J. Mach. Learn. & Cyber.

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Orthoptera are insects with excellent olfactory sense abilities due to their antennae richly equipped with receptors. This makes them interesting model organisms to be used as biosensors for environmental and agricultural monitoring. Herein, we investigated if the house cricket Acheta domesticus can be used to detect different chemical cues by examining the movements of their antennae and attempting to identify specific antennal displays associated to different chemical cues exposed (e.g., sucrose or ammonia powder). A neural network based on state-of-the-art techniques (i.e., SLEAP) for pose estimation was built to identify the proximal and distal ends of the antennae. The network was optimised via grid search, resulting in a mean Average Precision (mAP) of 83.74%. To classify the stimulus type, another network was employed to take in a series of keypoint sequences, and output the stimulus classification. To find the best one-dimensional convolutional and recurrent neural networks, a genetic algorithm-based optimisation method was used. These networks were validated with iterated K-fold validation, obtaining an average accuracy of 45.33% for the former and 44% for the latter. Notably, we published and introduced the first dataset on cricket recordings that relate this animal’s behaviour to chemical stimuli. Overall, this study proposes a novel and simple automated method that can be extended to other animals for the creation of Biohybrid Intelligent Sensing Systems (e.g., automated video-analysis of an organism’s behaviour) to be exploited in various ecological scenarios.

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Lifeforms potentially useful for automated underwater monitoring systems

Cited by 2 publications

References 11 publications

Bioinspired robots can foster nature conservation

Bioinspired robots can foster nature conservation

Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies

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