Sky Route AI Firokeya Bêpîlot a Gihandinê لەلایەن Xilin Tang

دیزاینی Sky Route AI Firokeya Bêpîlot a Gihandinê لەلایەن Xilin Tang خەڵاتگرێکی بەناوبانگی خەڵاتی شکۆمەندی 2025 Xelata A' Design Award a Tuncîn لە پۆلی پێشبڕکێی Dîzayna Pêşerojî.

TuncPêşerojî· 2025

Sky Route AI Firokeya Bêpîlot a Gihandinê

لەلایەن Xilin Tang

کڕیار: Osrbot

خەڵاتگری Xelata A' Design Award a Tuncîn لە پۆلی Pêşerojî

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بینین لە A' Design Award ڕاگەیاندنی چاپەمەنی نیشانەی خەڵات

ڕەنگەکان

دیزاینەکە

دەربارەی Sky Route AI Firokeya Bêpîlot a Gihandinê

Sky Route AI firokeyeke bêpîlot e ku ji bo lojîstîka pêşîn-dawîn a gelek-rawestgehî hatiye sêwirandin. Di firîneke yekane de gelek pakêt têne hilgirtin, ku bi zîrekiya sunî ji bo plansaziya rêyê ya dînamîk û bi tespîtkirina astengan a rasteqîn bi navgîniya modulên LiDAR û kamerayê tê rêberkirin. Laşê wê ji materyalên kompozît ên fîbera karbonê hatiye çêkirin, ku bi birîna CNC û teknîka derzîlêdana reçînê hatiye şeklkirin, û milên palekirî destûrê didin firîna di navbera cihên bajarî yên teng de. Motorên bêfirçe heta 45 xulek firînê di her şarjkirinê de û barek heta 3 kg peyda dikin. Mebest ev e ku lêçûn kêm bibe, dema li benda man kurt bibe û derizên emîsyonê kêm bibin.

پێناسەکردن

دەربارەی Xelata A' Design Award a Tuncîn

Sky Route AI Firokeya Bêpîlot a Gihandinê xelatgirê Xelata A' Design Award a Tuncîn e, nasîneke pir bi prestîj ku ji sêwiranên berbiçav ên bi afirînerî, jêhatîbûn û zîrekiyê têne cudakirin re tê dayîn. Xelatgirên Tuncînê karên bi têra xwe jêhatî û bi awayekî balkêş afirîner in, yên ku ezmûna fireh, xeyal û çareserkirina sêwiranerên xwe piştrast dikin. Tê hêvîkirin ku Sky Route AI Firokeya Bêpîlot a Gihandinê tiştekî pir hatiye rêzgirtin, sitayişkirin û delal be, bi awayekî berbiçav pîşekar û nûjen. Ev sêwirana bi Tuncînê serketî pratîkên çêtirîn ên huner, zanist, sêwiran û teknolojiyê digire nav xwe û ji bo baldariya li hûrgiliyan hêja ye. Sky Route AI Firokeya Bêpîlot a Gihandinê pêdiviyan bi rengekî xweş tîne cih, destê xwe dide daxwazan, hestan dihejîne û meraqê dikişîne.

لە پشت دیزاینەوە

کیتی چاپەمەنی

باوەڕپێکراوەکان، ئەندامانی تیم و وردەکاری تەکنیکی کە لەلایەن دیزاینەرەوە پێشکەش کراون.

تایبەتمەندییە تایبەتەکان: 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.
قەبارە و پاکێج: 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.
تاگەکان: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
تەکنەلۆژیای بەرهەمهێنان: 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.
هەڵەنگاندنی دیزاین: 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.
توێژینەوە: 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.
ئیلهام: 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.
ماوەی پڕۆژە: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
ڕێڕەوی کارکردن: 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.
کرێدیتی وێنەکان: 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