Sky Route AI Dron Dostawczy by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Brązowa Nagroda A' Design Award in Futurystyczny Design Competition Category.
BrązowaFuturystyczny· 2025
Sky Route AI Dron Dostawczy
by Xilin Tang
Client: Osrbot
Brązowa Nagroda A' Design Award Winner in Futurystyczny Category
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- Verified Award Winner
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The Design
About Sky Route AI Dron Dostawczy
Sky Route AI to dron dostawczy zaprojektowany do obsługi logistyki ostatniej mili z wieloma przystankami. Kilka paczek jest przenoszonych podczas jednego lotu, kierowanego przez sztuczną inteligencję do dynamicznego planowania trasy oraz wykrywania przeszkód w czasie rzeczywistym za pomocą modułów LiDAR i kamer. Korpus wykonany jest z kompozytów włókna węglowego, kształtowanych metodą cięcia CNC i infuzji żywicy, a składane ramiona umożliwiają lot przez wąskie przestrzenie miejskie. Silniki bezszczotkowe zapewniają do 45 minut lotu na jednym ładowaniu oraz udźwig do 3 kg. Celem projektu jest obniżenie kosztów, skrócenie czasu oczekiwania oraz redukcja emisji.
The Recognition
About the Brązowa Nagroda A' Design Award
Sky Route AI Dron Dostawczy to laureat Brązowej Nagrody A' Design Award, wysoce prestiżowego wyróżnienia przyznawanego znakomitym projektom wyróżniającym się kreatywnością, pomysłowością i przenikliwością. Laureaci Brązowej Nagrody to w pełni utalentowane i uderzająco twórcze artefakty, które poświadczają ogromne doświadczenie, wyobraźnię i zaradność ich twórców. Sky Route AI Dron Dostawczy ma być wysoko cenionym, podziwianym i drogim sercu przedmiotem, który jest wyjątkowo profesjonalny i innowacyjny. Ten projekt nagrodzony Brązową Nagrodą A' Design Award łączy najlepsze praktyki w sztuce, nauce, designie i technologii oraz jest doskonały dzięki dbałości o szczegóły. Sky Route AI Dron Dostawczy znakomicie zaspokaja potrzeby, porusza pragnienia, czaruje uczucia i przemawia do ciekawości.
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
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