Disaster has just struck, roads are inaccessible, and people need shelter now. Rather than wait days for a rescue team, a fleet of AI-guided drones takes flight carrying materials and the ability to build shelters, reinforce infrastructure, and construct bridges to reconnect people with safety.
It sounds like science fiction, but new research from Carnegie Mellon University’s College of Engineering combines drones, additive manufacturing, and large language models to rethink the future of aerial construction.
Aerial additive manufacturing (AM)—think flying 3D printers, has been fascinating researchers for years, but the natural instability of a drone in flight makes traditional layer-by-layer fabrication nearly impossible. To overcome this, Amir Barati Farimani, associate professor of mechanical engineering, has equipped drones with magnetic blocks to allow for precise pick-and-place assembly and a large language model (LLM) that can translate high-level design goals like “build a bridge” into executable plans.







