Sky Route AI Sky Route AI by Xilin Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award Tooj in Tsim Yav Tom Ntej Competition Category.

ToojYav Tom Ntej· 2025

Sky Route AI Sky Route AI

by Xilin Tang

Client: Osrbot

A' Design Award Tooj Winner in Yav Tom Ntej Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Sky Route AI Sky Route AI

Sky Route AI yog ib lub drone xa khoom uas tsim los ua haujlwm xa khoom mus rau ntau qhov chaw thaum kawg ntawm txoj kev xa khoom. Ntau lub thawv khoom raug nqa nrog rau ib zaug ya, coj los ntawm kev txawj ntse yam neeg tsim (AI) rau kev npaj txoj kev tshiab tshiab thiab kev tshawb pom cov khoom cuam tsheej tam sim ntawd los ntawm LiDAR thiab cov khoom siv camera. Lub cev ua los ntawm carbon fiber composites, txiav los ntawm CNC thiab tso resin rau hauv, thiab cov npab uas txav tau pub kom ya dhau cov chaw nyob zoo nkaus hauv nroog. Cov brushless motors muaj peev xwm ya tau txog li 45 feeb rau ib zaug rho hluav taws xob thiab nqa hnyav khoom txog li 3 kg. Lub hom phiaj yog txo tus nqi, txo sijhawm tos, thiab txo cov pa phem tso tawm.

The Recognition

About the A' Design Award Tooj

Sky Route AI Sky Route AI yog tus yeej ntawm A' Design Award Tooj, ib qho kev lees paub muaj meej mom heev uas muab rau cov qauv tsim tshwj xeeb uas txawv los ntawm kev tsim tshiab, kev txawj tsim thiab kev ntse. Cov neeg yeej Tooj yog cov khoom muaj txuj ci heev thiab tsim tshiab heev uas ua pov thawj txog kev paub ntau, kev xav thiab kev txawj ua ntawm cov kws tsim qauv. Sky Route AI Sky Route AI xav tias yuav yog ib qho khoom uas neeg hwm, qhuas thiab hlub, uas tshaj lij heev thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Tooj no siv cov kev coj ua zoo tshaj plaws ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis thiab zoo heev vim nws saib xyuas cov ntsiab lus. Sky Route AI Sky Route AI ua tau raws li cov kev xav tau zoo kawg, kov cov kev xav, ntxias cov kev xav thiab txhawb kev xav paub.

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