Concept

Edge computing collapses the distance between data and decision. For this project, we designed and built a suite of installations that made this invisible infrastructure legible — showing how autonomous agents coordinate, adapt, and respond to one another when latency drops to near zero.

The work was developed to help our client build internal conviction around further investment in edge computing. Rather than relying on slides or specs, we created environments where executives and stakeholders could witness the technology performing in real time — vehicles negotiating intersections, yielding to one another, and recovering from disruption without centralized control.

Prototyping

Each vehicle was hand-built from modified RC car chassis, outfitted with custom PCBs, infrared sensors, and microcontrollers communicating over a local edge network. The prototyping process moved through several iterations of hardware and software, balancing reliability with the kind of visible complexity that makes the technology feel real rather than polished over.

Final Installation

The finished installation seated the vehicles on a sculpted track surrounding a central display. A real-time data visualization showed each car's telemetry — speed, proximity, decision state — as they navigated the circuit autonomously. Visitors could introduce simulated latency and watch the fleet adapt collectively, switching between edge and non-edge networks.