Sky Route AI ڊليوري ڊرون by Xilin Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award برونز انعام in مستقبلي ڊيزائن Competition Category.

برونزمستقبلي· 2025

Sky Route AI ڊليوري ڊرون

by Xilin Tang

Client: Osrbot

A' Design Award برونز انعام Winner in مستقبلي Category

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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 ڊليوري ڊرون

اسڪاءِ روٽ اي آءِ هڪ ڊليوري ڊرون آهي جيڪو گھڻن اسٽاپن واري لاسٽ مائل لاجسٽڪس لاءِ ٺاهيو ويو آهي. هڪ ئي اڏام ۾ ڪيترائي پيڪيج کنيا وڃن ٿا، جن جي رهنمائي آرٽيفيشل انٽيليجنس ذريعي متحرڪ روٽ پلاننگ ۽ لائيڊار ۽ ڪئميرا ماڊيولز ذريعي ريئل ٽائيم رڪاوٽ سڃاڻپ ذريعي ڪئي ويندي آهي. ان جو بدن ڪاربان فائبر ڪمپازٽس مان ٺهيل آهي، جنهن کي سي اين سي ڪٽنگ ۽ رزن انفيوزن ذريعي شڪل ڏني وئي آهي، ۽ ويڙهجندڙ بانهون تنگ شهري جاين مان اڏام ڪرڻ جي اجازت ڏين ٿيون. برشليس موٽرون هر چارج تي 45 منٽن تائين اڏام ۽ 3 ڪلوگرام تائين پيلوڊ فراهم ڪن ٿيون. مقصد اهو آهي ته خرچ گھٽجي، انتظار جو وقت گھٽ ٿئي ۽ اخراج گھٽجن.

The Recognition

About the A' Design Award برونز انعام

Sky Route AI ڊليوري ڊرون A' Design Award برونز انعام جو کٽيندڙ آهي، تمام گهڻو معزز اعتراف جيڪو تخليقيت، اختراع ۽ ذڪاوت سان ممتاز بهترين ڊيزائنن کي ڏنو وڃي ٿو. برونز جا کٽيندڙ ڀرپور مهارت واريون ۽ نمايان طور تخليقي شاهڪار آهن، جيڪي پنهنجي ڊيزائنرن جي وسيع تجربي، تخيل ۽ ڏاهپ جي تصديق ڪن ٿيون. Sky Route AI ڊليوري ڊرون کان اميد ڪئي وڃي ٿي ته اهو هڪ تمام گهڻو قدر ڪيل، ساراهيل ۽ پيارو شيءِ هوندو، قابل ذڪر حد تائين پيشه ورانه ۽ جدت وارو. هي ڊيزائن جنهن A' Design Award برونز انعام کٽيو آهي، فن، سائنس، ڊيزائن ۽ ٽيڪنالاجي ۾ بهترين طريقا شامل ڪري ٿو ۽ ننڍين تفصيلن ڏانهن ڌيان ڏيڻ ڪري شاندار آهي. Sky Route AI ڊليوري ڊرون ضرورتون خوبصورتيءَ سان پوريون ڪري ٿو، خواهشن کي ڇهي ٿو، جذبن کي موهي ٿو ۽ تجسس ڇڪي ٿو.

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