Xilin Tang طرفان Sky Route AI ڊليوري ڊرون

Xilin Tang طرفان Sky Route AI ڊليوري ڊرون انتهائي معتبر 2025 A' Design Award برونز انعام جو فاتح آهي مستقبلي ڊيزائن مقابلي جي درجي ۾.

برونزمستقبلي· 2025

Sky Route AI ڊليوري ڊرون

Xilin Tang طرفان

ڪلائنٽ: Osrbot

مستقبلي درجي ۾ A' Design Award برونز انعام فاتح

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تصديق ٿيل ايوارڊ فاتح

ڊزائين #171188 لاءِ ايوارڊ جي حيثيت جي تصديق ڪريو

A' Design Award تي ڏسو پريس رليز ايوارڊ بيج

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ڊزائن

Sky Route AI ڊليوري ڊرون بابت

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.

سڃاڻپ

A' Design Award برونز انعام بابت

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.

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پريس ڪِٽ

ڊزائنر طرفان فراهم ڪيل ڪريڊٽس، ٽيم ميمبرز ۽ ٽيڪنيڪل تفصيلات.

منفرد خاصيتون: 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.
ماپ ۽ پيڪيجنگ: 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.
ٽيگ: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
پيداواري ٽيڪنالاجي: 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.
ڊزائين چيلينج: 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.
تحقيق: 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.
الهام: 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.
منصوبي جو عرصو: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
عمل جو فلو: 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.
تصوير ڪريڊٽ: 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