Sky Route AI Dronă de Livrare by Xilin Tang

Sky Route AI Dronă de Livrare by Xilin Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award de Bronz in Design Futurist Competition Category.

BronzFuturist· 2025

Sky Route AI Dronă de Livrare

by Xilin Tang

Client: Osrbot

A' Design Award de Bronz Winner in Futurist Category

137,190

Verified Award Winner

Verify Award Status for #171188

View at A' Design Award Press Release Award Badge

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The Design

About Sky Route AI Dronă de Livrare

Sky Route AI este o dronă de livrare concepută pentru logistica de tip „ultimul kilometru” cu opriri multiple. Mai multe colete sunt transportate într-un singur zbor, ghidat de inteligența artificială pentru planificarea dinamică a rutei și de detectarea obstacolelor în timp real prin module LiDAR și cameră video. Corpul este realizat din materiale compozite din fibră de carbon, prelucrate prin tăiere CNC și infuzie cu rășină, iar brațele pliabile permit zborul prin spații urbane înguste. Motoarele brushless oferă până la 45 de minute de zbor per încărcare și o capacitate de încărcare de până la 3 kg. Scopul este de a reduce costurile, de a scurta timpii de așteptare și de a diminua emisiile.

The Recognition

About the A' Design Award de Bronz

Sky Route AI Dronă de Livrare a câștigat A' Design Award de Bronz, o recunoaștere extrem de prestigioasă acordată designurilor remarcabile care se disting prin creativitate, ingeniozitate și istețime. Câștigătorii Bronzului sunt artefacte din plin pricepute și izbitor de creative, care atestă experiența vastă, imaginația și resursele designerilor lor. Se așteaptă ca Sky Route AI Dronă de Livrare să fie un obiect foarte apreciat, admirat și prețuit, remarcabil de profesionist și inovator. Acest design câștigător al A' Design Award de Bronz încorporează cele mai bune practici din artă, știință, design și tehnologie și este excelent prin atenția la detalii. Sky Route AI Dronă de Livrare satisface splendid nevoile, atinge dorințele, vrăjește sentimentele și stârnește curiozitatea.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: This drone redefines last mile logistics by combining advanced AI with a carbon fiber body for repeated multi stop operations. Optimized to reduce flight time and emissions, it integrates real time obstacle detection and dynamic route planning. Its efficient multi takeoff capability lowers operational costs and ensures swift deliveries, distinguishing it from conventional single route drones. Additionally, advanced AI simulations accelerate development cycles for consistent and safe performance.
Dimensions & Packaging: Overall dimensions: 800 mm wide x 800 mm deep x 400 mm high, total weight approximately 3.5 kg. The carbon fiber chassis ensures a payload capacity of up to 3 kg. Brushless motors enable up to 45 minutes of flight time per charge. Integrated LiDAR and multi camera arrays provide real time obstacle detection, while modular battery packs facilitate efficient multi stop operations in various urban settings.
Tags: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Production Technology: Constructed from carbon fiber composites to maximize flight efficiency, the drone is realized through CNC cutting and resin infusion processes. AI driven simulation tools guide iterative refinements, optimizing aerodynamic performance and structural integrity. LiDAR and camera modules integrate seamlessly within modular housings, while brushless motors and a robust flight controller ensure high precision and reliability during multi stop missions.
Design Challenge: Integrating multi stop delivery AI with real time obstacle detection proved the toughest hurdle. Historically, drones had limited payload capacity; socially, public acceptance demanded robust safety features. Externally, evolving regulations demanded compliance, while scarce data and advanced materials constrained prototyping. Overcoming these obstacles shaped a reliable, efficient system.
Research: We conducted applied research aiming to cut delivery costs and boost reliability. Using iterative prototyping and AI simulations, we collected flight and route data with sensor arrays. Test flights with volunteers showed multi package deliveries reduced wait times by 30%. This insight informed safer navigation, driving business efficiency, easing urban congestion, and inspiring new drone design standards.
Inspiration: Inspired by the global need for more flexible, cost efficient, and eco friendly logistics, we harnessed advanced AI simulations to refine multi stop capabilities in a carbon fiber drone. Rising labor costs and congested roads highlighted the urgency to innovate last mile delivery, so our research focused on optimizing flight performance, payload handling, and dynamic route planning.
Project Duration: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Operation Flow: SkyRoute AI is operated via a user friendly app or controller. After takeoff, it can fold or unfold its arms to carry multiple packages, navigate narrow urban spaces, and revert to a stable form. With real time obstacle detection and dynamic route updates, it delivers multiple packages to different locations in a single run. This flexible, efficient approach reduces wait times, lowers costs, and outperforms traditional drones in speed and reliability.
Image Credits: Image #1: Designer XilinTang, Auburn, 2024
Image #2: Designer XilinTang, Auburn, 2024
Image #3: Designer XilinTang, Auburn, 2024
Image #4: Designer XilinTang, Auburn, 2024
Image #5: Designer XilinTang, Auburn, 2024