Research

The paper proposes an “Internet of Agentic AI” in which autonomous agents discover each other, negotiate responsibilities, exchange context, coordinate workflows, and operate across organizational boundaries.

SQUID-COMM introduces a communications architecture inspired by signalling, coordination, and self-organization mechanisms observed in colossal squid. The framework includes adaptive signalling, decentralized routing, synchronization, and congestion-management concepts.

Researchers studying fire-ant collectives found evidence that large-scale ripples and movement waves emerge from simple local alignment between neighbouring ants. No central coordination is required for the collective patterns to appear.

Duke University researchers have demonstrated Argus, a 20-legged robot whose sea-urchin-like body gives it near-uniform motion and perception in every direction.

Researchers have developed printed magnetic sensors made from naturally sourced and lower-toxicity materials including iron, iron oxide, cellulose, and starch.

Researchers at the University of Osaka and collaborators have developed a cyborg insect system that reads heartbeat activity, neural signal features, and body movement from cockroaches.

Bosch researchers developed a decentralized collaborative mapping system inspired by ant pheromone trails and swarm intelligence. Vehicles share virtual pheromone markers to distribute mapping effort and resolve uncertainty without central coordination, translating stigmergic biological communication into autonomous transport infrastructure.

Just call these tiny autonomous construction robots “antdroids” Biomimicry is a significant driver in robot design; like ants, RAnts are too small to possess human-level cognition and memory, so if they’re going to achieve complex goals, they need to out-source, or exbody, their data-processing to their environment.

Honeybee-inspired swarm framework targets resilient planetary exploration The history of planetary exploration has long been a chronicle of singular, heroic machines.

Researchers from SUPSI and ETH Zurich developed a firefly-inspired visible-light communication system for nano-drone swarms using LEDs and convolutional neural networks for message decoding.