Sky Route AI Isidrone Sokulethwa ngu-Xilin Tang

Umdwebo Sky Route AI Isidrone Sokulethwa ngu-Xilin Tang ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2025 Umklomelo Webhulonzi we-A' Design Award Esigabeni Somncintiswano se-Okwesikhathi Esizayo.

IbhulonziOkwesikhathi Esizayo· 2025

Sky Route AI Isidrone Sokulethwa

ngu Xilin Tang

Iklayenti: Osrbot

Umnqobi we-Umklomelo Webhulonzi we-A' Design Award Esigabeni se-Okwesikhathi Esizayo

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Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

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Ukuklama

Mayelana ne-Sky Route AI Isidrone Sokulethwa

Sky Route AI iyisidrone sokulethwa esakhelwe izinsizakalo eziningi zokuthutha empeleni yendlela yokugcina ekulethweni kwezimpahla. Amaphakheji amaningi athwalwa ohambweni olulodwa lwendiza, aqondiswa yi-artificial intelligence ekuhleleni indlela ngokushesha nokubona izithiyo ngesikhathi sangempela ngokusebenzisa i-LiDAR namamojula ekhamera. Umzimba wenziwe ngezingxube ze-carbon fiber, ezibunjwe ngokusika kwe-CNC nokufakwa kwe-resin, futhi izingalo ezigoqekayo zivumela ukundiza ezindaweni ezincane zasemadolobheni. Amamotha e-brushless anikeza isikhathi sokundiza esifika kumaminithi angu-45 ngokushaja okukodwa kanye nomthwalo ofinyelela ku-3 kg. Injongo ukwehlisa izindleko, ukufinyeza isikhathi sokulinda kanye nokunciphisa ukukhishwa kwezisisi.

Ukuqashelwa

Mayelana ne-Umklomelo Webhulonzi we-A' Design Award

Sky Route AI Isidrone Sokulethwa iwinile uMklomelo Webhulonzi we-A' Design Award, ukwaziswa okuhloniphekile kakhulu okunikezwa imiklamo ephawulekayo eyehlukaniswa ukudala, ubuhlakani nobukhali bengqondo. Abawinile beBhulonzi yimisebenzi enobuchule obukhulu nedala ngokumangalisayo eqinisekisa isipiliyoni esibanzi, umcabango nobuhlakani babaklami babo. Sky Route AI Isidrone Sokulethwa ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo, enobungcweti obuphawulekayo nezinto ezintsha. Lo mklamo owinile uMklomelo Webhulonzi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu ebuciko, esayensi, ekuklameni nasebuchwepheshe futhi uhamba phambili ngenxa yokunaka kwawo imininingwane. Sky Route AI Isidrone Sokulethwa iyanelisa izidingo ngokumangalisayo, ithinta izifiso, iheha imizwa futhi ikhanga ukufuna ukwazi.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Ukuhamba Kokusebenza: 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.
Amakhredithi Ezithombe: 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