Sky Route AI የመላኪያ ድሮን by Xilin Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award የነሐስ ሽልማት in የወደፊታዊ ዲዛይን Competition Category.
ነሐስወደፊታዊ· 2025
Sky Route AI የመላኪያ ድሮን
by Xilin Tang
Client: Osrbot
A' Design Award የነሐስ ሽልማት Winner in ወደፊታዊ Category
Verified Award Winner
Verify Award Status for #171188The Design
About Sky Route AI የመላኪያ ድሮን
ስካይ ራውት ኤአይ ለብዙ ማቆሚያ የመጨረሻ ማይል ሎጂስቲክስ የተነደፈ የመላኪያ ድሮን ነው። በአንድ በረራ ውስጥ በርካታ ጥቅሎችን የሚያጓጉዝ ሲሆን፣ ተለዋዋጭ የመንገድ እቅድ ለማውጣት በአርቴፊሻል ኢንተለጀንስ እንዲሁም እንቅፋቶችን በቅጽበት ለመለየት በላይዳር (LiDAR) እና በካሜራ ሞጁሎች ይመራል። አካሉ ከካርቦን ፋይበር ኮምፖዚት የተሰራ ሲሆን በሲኤንሲ (CNC) ቆራጭ እና በሬዚን ኢንፍዩዥን ቅርጽ የተበጀ ነው፣ የሚታጠፉ ክንዶችም በጠባብ የከተማ ቦታዎች ውስጥ በረራ እንዲያደርግ ያስችላሉ። ብራሽ አልባ ሞተሮች በአንድ ሙሉ ኃይል ሙሌት እስከ 45 ደቂቃ በረራ እና እስከ 3 ኪግ የመሸከም አቅም ይሰጣሉ። ዓላማውም ወጪዎችን ለመቀነስ፣ የመጠበቂያ ጊዜዎችን ለማሳጠር እና ልቀትን ለመቀነስ ነው።
The Recognition
About the A' Design Award የነሐስ ሽልማት
Sky Route AI የመላኪያ ድሮን የA' Design Award የነሐስ ሽልማት አሸናፊ ነው፤ ይህም በፈጠራ፣ በብልሃት እና በአስተዋይነት ለሚታወቁ ድንቅ ዲዛይኖች የሚሰጥ እጅግ ከፍተኛ ክብር ያለው እውቅና ነው። የነሐስ አሸናፊዎች የዲዛይነሮቻቸውን ሰፊ ልምድ፣ ምናብ እና ብልሃት የሚያረጋግጡ እጅግ ችሎታ የተሞላባቸው እና በሚያስደንቅ ሁኔታ ፈጠራ ያላቸው ሥራዎች ናቸው። Sky Route AI የመላኪያ ድሮን ከፍ ያለ ግምት የሚሰጠው፣ የሚደነቅና የሚወደድ፣ እጅግ ሙያዊና ፈጠራ የተሞላበት ነገር እንደሚሆን ይጠበቃል። ይህ የA' Design Award የነሐስ ሽልማትን ያሸነፈ ዲዛይን በኪነ ጥበብ፣ በሳይንስ፣ በዲዛይን እና በቴክኖሎጂ ምርጥ ልምዶችን ያካትታል፤ ለዝርዝርም በሚሰጠው ትኩረት ምርጥ ነው። Sky Route AI የመላኪያ ድሮን ፍላጎቶችን በግሩም ሁኔታ ያረካል፣ ምኞቶችን ይነካል፣ ስሜቶችን ይማርካል እንዲሁም የማወቅ ጉጉትን ይስባል።
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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