Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Tuzo ya Shaba ya A' Design Award in Usanifu wa Kistaarabu Competition Category.
ShabaKistaarabu· 2025
Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji
by Xilin Tang
Client: Osrbot
Tuzo ya Shaba ya A' Design Award Winner in Kistaarabu Category
Verified Award Winner
Verify Award Status for #171188The Design
About Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji
Sky Route AI ni ndege isiyo na rubani ya usafirishaji iliyobuniwa kwa ajili ya usafirishaji wa hatua za mwisho zenye vituo vingi. Vifurushi kadhaa hubebwa katika safari moja ya ndege, ikiongozwa na akili bandia kwa ajili ya upangaji wa njia unaobadilika na kwa ugunduzi wa vizuizi wa wakati halisi kupitia moduli za LiDAR na kamera. Mwili wake umetengenezwa kwa mchanganyiko wa nyuzi za kaboni, ukiundwa kwa kukatwa kwa CNC na uingizaji wa resini, na mikono inayokunjika huruhusu urukaji kupitia nafasi nyembamba za mijini. Motaji zisizo na brashi hutoa hadi dakika 45 za kurusha kwa kila chaji moja na uwezo wa kubeba mzigo wa hadi kilo 3. Lengo ni kupunguza gharama, kufupisha muda wa kusubiri na kupunguza uzalishaji wa hewa chafu.
The Recognition
About the Tuzo ya Shaba ya A' Design Award
Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji ni mshindi wa Tuzo ya Shaba ya A' Design Award, utambuzi wenye heshima kubwa unaotolewa kwa miundo bora inayotofautishwa kwa ubunifu, ustadi na busara. Washindi wa Shaba ni kazi za ufundi mwingi na bunifu ya kushangaza zinazothibitisha uzoefu mpana, mawazo na ustadi wa wabunifu wao. Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji inatarajiwa kuwa kitu kinachothaminiwa sana, kupendwa na kuenziwa, ambacho ni cha kitaalamu na bunifu kwa kiasi kikubwa. Muundo huu ulioshinda Tuzo ya Shaba ya A' Design Award unajumuisha mbinu bora katika sanaa, sayansi, usanifu na teknolojia, na ni bora kwa umakini wake kwa undani. Sky Route AI Ndege Isiyo na Rubani ya Usafirishaji hutosheleza mahitaji kwa uzuri, hugusa hamu, huvutia hisia na kuvutia udadisi.
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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