Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

Social immunity involves collective defensive strategies against infectious diseases. Despite its prevalence in eusocial insects, little is known about social immunity in non‐eusocial organisms like gregarious locusts. To address this gap, an emergent biohybrid approach bridging robotics and ethology is employed to study the behavior of the gregarious phase of Schistocerca gregaria in response to the entomopathogenic fungus Beauveria bassiana . Herein, the first animal–robot–microorganism interaction is developed to explore how infected biomimetic agents (IB) influence healthy locust behavior compared to healthy biomimetic agents (HB), as well as to infected and healthy non‐biomimetic controls (INB, HNB). Significant differences in locust responses to different agents, including latency duration, grooming behavior, tactile interactions, and aggression are observed. In healthy locusts, the increased grooming and tactile interactions in response to IB highlight potential preventive measures against pathogen transmission. Also, tactile interaction behavior is notably extended toward IB, emphasizing the role of reciprocal hygiene in limiting pathogens spread within the swarm. Infected locusts exhibit altered behaviors, including increased interaction with any robotic agents, potentially to be cleaned of fungal conidia. This animal–robot interaction study reveals social immunity dynamics in non‐eusocial organisms, with implications for pest control, evolutionary ecology, social complex systems, and bioinspired engineering design.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-03-08
DOI
https://doi.org/10.1002/aisy.202400763
Citations
3
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
5.45

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article

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

Donato Romano, Cesare Stefanini
3 citations
Advanced Intelligent Systems
Insect and Arachnid Ecology and Behavior
5.45
article

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

Donato Romano, Cesare Stefanini
article en
3 citations

Abstract

Social immunity involves collective defensive strategies against infectious diseases. Despite its prevalence in eusocial insects, little is known about social immunity in non‐eusocial organisms like gregarious locusts. To address this gap, an emergent biohybrid approach bridging robotics and ethology is employed to study the behavior of the gregarious phase of Schistocerca gregaria in response to the entomopathogenic fungus Beauveria bassiana . Herein, the first animal–robot–microorganism interaction is developed to explore how infected biomimetic agents (IB) influence healthy locust behavior compared to healthy biomimetic agents (HB), as well as to infected and healthy non‐biomimetic controls (INB, HNB). Significant differences in locust responses to different agents, including latency duration, grooming behavior, tactile interactions, and aggression are observed. In healthy locusts, the increased grooming and tactile interactions in response to IB highlight potential preventive measures against pathogen transmission. Also, tactile interaction behavior is notably extended toward IB, emphasizing the role of reciprocal hygiene in limiting pathogens spread within the swarm. Infected locusts exhibit altered behaviors, including increased interaction with any robotic agents, potentially to be cleaned of fungal conidia. This animal–robot interaction study reveals social immunity dynamics in non‐eusocial organisms, with implications for pest control, evolutionary ecology, social complex systems, and bioinspired engineering design.

Advanced Intelligent SystemsVol. 7(10)
Piaggio (Italy) (IT), Scuola Superiore Sant'Anna (IT), Piaggio Aerospace (Italy) (IT)
Ministero dell'Università e della Ricerca, HORIZON EUROPE European Innovation Council
Openalex Percentile: Top 5%
Insect and Arachnid Ecology and Behavior
5.45
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Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction — Donato Romano, Cesare Stefanini · Advanced Intelligent Systems (2025) | TGRS Research Map | TGRS