society nano

Completed as part of an AA DRL workshop on Arduino and computational design, this project investigated autonomous behavior through Machine-to-Machine interaction. Our team focused on developing a population of simple robots capable of sensing, responding, and reorganizing themselves through chromatic communication. The conceptual references — bioluminescent organisms, underwater signaling systems, and buoyant structures — informed a logic of distributed, low‑intelligence agents producing higher‑order behavior.

The system was intentionally reductive at the component level. Each robot consisted of a color sensor, RGB LEDs, a continuous‑rotation servo, an Arduino Nano, a battery, and a minimal breadboard assembly. A pulley mechanism using fishing wire allowed the robots to “float” within the environment, enabling vertical mobility without the complexity of true flight — a strategic abstraction given the four‑week timeframe.
Autonomy emerged through rule‑sets. With eighteen robots deployed, the first iteration used a direct‑mapping protocol: detect a color, emit the same color. This produced rapid convergence toward a single chromatic state, demonstrating the system’s tendency toward entropy under mirrored feedback loops.

A second rule‑set introduced a non‑linear response: each detected color triggered the emission of a different color. This inversion prevented collapse and generated continuous, unpredictable behavior. The population exhibited emergent organization — fluctuating clusters, transient gradients, and momentary synchronizations — none of which were explicitly programmed. The system behaved as a small artificial ecology, driven by local sensing, minimal autonomy, and the propagation of color as information.