ዲዛይን Sky Route AI መላኺ ድሮን ብ Xilin Tang ኣብ ናይ ውድድር ምድብ ናይ መጻኢ ንድፊ ኣዝዩ ዝኸበረ ተሸላማይ ናይ 2025 ናይ ነሓስ ሽልማት A' Design Award እዩ።

ነሓስናይ መጻኢ· 2025

Sky Route AI መላኺ ድሮን

ብ Xilin Tang

ዓሚል: Osrbot

ኣብ ምድብ ናይ መጻኢ ተሸላማይ ናይ ነሓስ ሽልማት A' Design Award

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ንቁጽሪ #171188 ሽልማት ኣረጋግጽ

ኣብ A' Design Award ርአዮ ጋዜጣዊ መግለጺ ባጅ ሽልማት

ሕብርታት

እቲ ዲዛይን

ብዛዕባ Sky Route AI መላኺ ድሮን

ስካይ ራውት ኤአይ ንብዙሕ ደው ምባል ናይ መወዳእታ ማይል ሎጂስቲክስ ተባሂሉ ዝተሰርሐ መላኺ ድሮን እዩ። ብዙሓት ጥርኑፋት ኣብ ሓደ በረራ ይጽዓኑ፣ ብሰብኣዊ ብልሓት (AI) ንዲናሚካዊ መስመር ምድላው ከምኡውን ብእዋኑ ናይ ዕንቅፋት ምልላይ ብመንገዲ ላይዳር (LiDAR) ከምኡውን ካሜራ ሞጁላት ይምራሕ። ኣካላቱ ብካርቦን ፋይበር ውሁድ ንጥረ-ነገራት ተሰሪሑ፣ ብCNC ምቁራጽ ከምኡውን ብሬዚን ኢንፍዩዥን ቅርጹ ተታሒዙ፣ ተዓጻጻፍቲ ቅልጽማት ድማ ብጸበብቲ ከተማዊ ቦታታት ንኽበርር የኽእሉዎ። ብራሽለስ ሞተራት ክሳብ 45 ደቓይቕ በረራ ኣብ ነፍሲ ወከፍ ቻርጅ ከምኡውን ክሳብ 3 ኪ.ግ. ጽዕነት ይህቡ። ዕላማኡ ወጻኢታት ምንካይ፣ ግዜ ምጽባይ ምሕጻርን ልቃቕ ጋዝ ምንካይን እዩ።

እቲ ኣፍልጦ

ብዛዕባ ናይ ነሓስ ሽልማት A' Design Award

Sky Route AI መላኺ ድሮን ናይ ነሓስ ሽልማት A' Design Award ዝዓወተ እዩ፣ ብፈጠራ፣ ርእሰ ሓይልን ስቕታን ዝፍለዩ ብልጫ ዘለዎም ዲዛይናት ዝወሃብ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ነሓስ ሰፊሕ ተሞክሮ፣ ምሕሳብን ርእሰ ምምዕባልን ዲዛይነራቶም ዘረጋግጹ ኣዚዮም ክኢላታትን ብዘደንቕ መገዲ ፈጠራውያንን ኣርቴፋክትታት እዮም። Sky Route AI መላኺ ድሮን ብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን ብኣገዳሲ መገዲ ሞያውን ሓድሽን ኣቕሓ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ነሓስ ሽልማት A' Design Award ኣብ ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዝበለጹ ልምድታት ዘጣምር፣ ንዝርዝር ብዝህቦ ኣቓልቦ ድማ ዝበለጸ እዩ። Sky Route AI መላኺ ድሮን ድልየታት ብጽባቐ የማልእ፣ ንድሌታት ይትንክፍ፣ ንስምዒታት የማርኽን ሕቶ ድማ የሰሕብን።

ድሕሪ እቲ ዲዛይን

ናይ ፕረስ ኪት

ክረዲትታት፣ ኣባላት ጋንታን ቴክኒካዊ ዝርዝራትን ብዲዛይነር ዝቐረቡ።

ፍሉያት ባህርያት: 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.
ዓቐንን ማዕሸግን: 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.
መለለዪታት: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
ናይ ምፍራይ ቴክኖሎጂ: 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.
ናይ ዲዛይን ብድሆ: 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.
ምርምር: 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.
ምንጪ ሓሳብ: 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.
ናይ ፕሮጀክት ግዜ: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
ናይ ስርሒት ፍሰት: 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.
ናይ ስእሊ ክረዲት: 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