Sky Route AI Piegādes drons by Xilin Tang

Sky Route AI Piegādes drons by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Bronzas balva A' Design Award in Futūristiskais dizains Competition Category.

BronzasFutūristiskais· 2025

Sky Route AI Piegādes drons

by Xilin Tang

Client: Osrbot

Bronzas balva A' Design Award Winner in Futūristiskais Category

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Verified Award Winner

Verify Award Status for #171188

View at A' Design Award Press Release Award Badge

Colors

The Design

About Sky Route AI Piegādes drons

Sky Route AI ir piegādes drons, kas izstrādāts daudzpieturu pēdējās jūdzes loģistikai. Vienā lidojumā tiek pārvadātas vairākas pakas, un lidojumu vada mākslīgais intelekts dinamiskai maršruta plānošanai, kā arī reāllaika šķēršļu noteikšanai, izmantojot LiDAR un kameru moduļus. Korpuss ir izgatavots no oglekļa šķiedras kompozītmateriāliem, kas veidoti ar CNC griešanu un sveķu infūziju, bet salokāmās sviras ļauj lidot cauri šaurām pilsētvides telpām. Bezsuku motori nodrošina līdz 45 minūšu ilgu lidojumu vienā uzlādē un kravnesību līdz 3 kg. Mērķis ir samazināt izmaksas, saīsināt gaidīšanas laiku un mazināt emisijas.

The Recognition

About the Bronzas balva A' Design Award

Sky Route AI Piegādes drons ir Bronzas balvas A' Design Award ieguvējs, ļoti prestiža atzinība, ko piešķir izciliem dizainiem, kas izceļas ar radošumu, atjautību un viedumu. Bronzas ieguvēji ir pietiekami prasmīgi un pārsteidzoši radoši darbi, kas apliecina to dizaineru plašo pieredzi, iztēli un izdarību. Sagaidāms, ka Sky Route AI Piegādes drons būs augsti vērtēts, apbrīnots un cienīts priekšmets, ievērojami profesionāls un inovatīvs. Šis ar Bronzas balvu apbalvotais dizains iekļauj labāko praksi mākslā, zinātnē, dizainā un tehnoloģijās un izceļas ar uzmanību detaļām. Sky Route AI Piegādes drons lieliski apmierina vajadzības, skar vēlmes, valdzina jūtas un piesaista zinātkāri.

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