Sky Route AI Tazwart n Usixef sɣur Xilin Tang

Sky Route AI Tazwart n Usixef sɣur Xilin Tang d anerbaz yettwaqadren meqqren n 2025 Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Tnaflit n Afeṣṣel Azekkan.

LbrunzAzekkan· 2025

Sky Route AI Tazwart n Usixef

sɣur Xilin Tang

Amsaɣ: Osrbot

Anerbaz n Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Azekkan

139,713

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #171188

Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Sky Route AI Tazwart n Usixef

Sky Route AI d tazwart n usixef i yettwaxedmen i uɛawen n usixef n uneggaru n webrid s aṭas n yeḥbas. Aṭas n yiḥraz i d-yettwabbin deg yiwen n unafag, yettwarcad s tallelt n tmusni tabnizit i uxeddem n webrid s wudem uslig akked wafran n yiɛiqqiwen s webrid n LiDAR akked yiɣmisen n tkamiṛat. Lekyan-ines yettwaxdem s tɣawsiwin n carbon fiber, ittwaskan s tarrayt n CNC akked usumer n resin, ma d yigecran-is yezmer ad ttwaḍleqen akken ad d-vug deg iberdan iɣezfanen n temdinin. Ammuten ur nesɛi ara brushes ttaken-d azal n 45 n twinas n unafag i yal tissit, akked taɛkumt n usaddu ar 3 kg. Askar-agi yebna ɣef uṣubbeɣ n idrisen, tuɣzi n leεmer n ureǧǧi akked tsuddemt n yisumar iḥeṛcen ɣer wammud.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lbrunz

Sky Route AI Tazwart n Usixef d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. Sky Route AI Tazwart n Usixef ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Sky Route AI Tazwart n Usixef yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: 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.
Tibzimin: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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.
Tanzagt n Usenfar: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Tanila n Umahil: 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.
Imsuren n Tugniwin: 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