Sky Route AI طائرة توصيل بدون طيار by Xilin Tang

Sky Route AI طائرة توصيل بدون طيار by Xilin Tang is a highly esteemed winner of the very prestigious 2025 جائزة A' Design Award البرونزية in التصميم المستقبلي Competition Category.

برونزالمستقبلي· 2025

Sky Route AI طائرة توصيل بدون طيار

by Xilin Tang

Client: Osrbot

جائزة A' Design Award البرونزية Winner in المستقبلي 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 طائرة توصيل بدون طيار

"Sky Route AI" هي طائرة توصيل بدون طيار صُمّمت لخدمات الميل الأخير متعددة المحطات. تحمل عدة طرود في رحلة واحدة، مسترشدةً بالذكاء الاصطناعي لتخطيط المسارات الديناميكي وبكشف العوائق في الزمن الحقيقي عبر وحدات الليدار والكاميرات. صُنع الهيكل من مركبات ألياف الكربون، وشُكّل بالقطع بالتحكم الرقمي الحاسوبي (CNC) وحقن الراتنج، فيما تتيح الأذرع القابلة للطي التحليق عبر المساحات الحضرية الضيقة. توفّر المحركات عديمة الفُرَش زمن طيران يصل إلى 45 دقيقة لكل شحنة وحمولة تصل إلى 3 كجم. ويهدف التصميم إلى خفض التكاليف وتقليص أوقات الانتظار والحدّ من الانبعاثات.

The Recognition

About the جائزة A' Design Award البرونزية

Sky Route AI طائرة توصيل بدون طيار هو فائز بجائزة A' Design Award البرونزية، وهي تقدير رفيع المكانة يُمنح للتصاميم المتميزة التي تتسم بالإبداع والبراعة وحدة الذكاء. والفائزون بالبرونزية مصنوعات بارعة بوفرة ومبدعة بصورة لافتة، تؤكد الخبرة الواسعة والخيال وسعة الحيلة لدى مصمميها. ويُتوقع أن يكون Sky Route AI طائرة توصيل بدون طيار قطعة عالية التقدير ومحل إعجاب وحب، شديدة الاحترافية والابتكار. وهذا التصميم الفائز بجائزة A' Design Award البرونزية يتبنى أفضل الممارسات في الفن والعلم والتصميم والتكنولوجيا، ويتميز بعنايته بالتفاصيل. ويلبّي Sky Route AI طائرة توصيل بدون طيار الاحتياجات على أفضل وجه، ويلامس الرغبات، ويأسر المشاعر، ويستثير الفضول.

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