Sky Route AI Duqsiga Gaarsiinta oo uu sameeyey Xilin Tang

Naqshadda Sky Route AI Duqsiga Gaarsiinta oo uu sameeyey Xilin Tang waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Mustaqbalka ee 2025 Abaalmarinta Naxaasta ah ee A' Design Award.

NaxaasMustaqbaleed· 2025

Sky Route AI Duqsiga Gaarsiinta

Xilin Tang uu sameeyay

Macmiilka: Osrbot

Ku Guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award ee Qaybta Mustaqbaleed

137,190

Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #171188

Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Sky Route AI Duqsiga Gaarsiinta

Sky Route AI waa duqsi (drone) gaarsiineed loo qaabeeyay adeegga logistics-ka dhinaca ugu dambeeya ee gaarsiinta iyada oo leh xul joogsi oo badan. Baakidhyo dhowr ah ayaa la qaadaa duulimaad kaliya, iyagoo la hagayo sirdoonta kufilan (AI) ee qorsheynta jidka farsamaysan iyo ogaanshaha caqabadaha waqtiga dhabta ah leh, kaas oo ku shaqeeya teknolojiyada LiDAR iyo qalabka kamarada. Qaab-dhismeedka waxaa laga sameeyay walxo isku-dhafan oo fiber kaarboon ah, oo loo qaabeeyay iyadoo la adeegsanayo goynta CNC iyo daadinta resin, halka gacmaha lagu duubi karo ay u fududeeyaan duulimaad ku dhex mara meelaha cidhiidhiga ah ee magaalooyinka. Matoorrada brushless-ka waxay bixiyaan ilaa 45 daqiiqo duulimaad hal geedin oo shido ah, iyo awood qaadista culeyska ilaa 3 kg. Ujeeddadu waa in la dhimo kharashka, la gaabiyo waqtiga sugitaanka, oo la yareeyo qiiqa (emissions).

Aqoonsiga

Wax ku saabsan Abaalmarinta Naxaasta ah ee A' Design Award

Sky Route AI Duqsiga Gaarsiinta waa guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award, aqoonsi sharaf sare leh oo la siiyo naqshado aan caadi ahayn oo lagu garto hal-abuur, hal-abuur cusub iyo caqli. Guuleystayaasha Naxaasta waa shaqooyin xirfad buuxda leh iyo hal-abuur yaab leh oo xaqiijiya khibrad weyn, male-awaal iyo kartida naqshadeeyayaashooda. Sky Route AI Duqsiga Gaarsiinta waa walax la filayo inay noqoto mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, xirfad cad leh oo hal-abuur cusub leh. Naqshadahan ku guuleystay Abaalmarinta Naxaasta ah ee A' Design Award wuxuu ku darsadaa hab-dhaqanno ugu wanaagsan farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada wuxuuna ku fiican yahay dhawrista tafaasiisha. Sky Route AI Duqsiga Gaarsiinta si fiican ayay u buuxisaa baahiyaha, taabataa rabitaannada, soo jiidataa dareenka kicinayaanna xiisaha aqoonta.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: 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.
Cabbirka & Qaabaynta: 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.
Summado: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Tiknoloojiyada Soo Saarka: 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.
Caqabadda Naqshadda: 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.
Cilmi-baadhis: 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.
Dhiirrigelinta: 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.
Muddada Mashruuca: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Socodka Hawlgalka: 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.
Amaanta Sawirrada: 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