Sky Route AI Besoargingsdrone troch Xilin Tang

Sky Route AI Besoargingsdrone troch Xilin Tang is in heech wurdearre winner fan de tige prestizjeuze 2025 A' Design Award yn Brûns yn de kompetysje-kategory Futuristysk Ûntwerp.

BrûnsFuturistysk· 2025

Sky Route AI Besoargingsdrone

troch Xilin Tang

Klant: Osrbot

A' Design Award yn Brûns Winner yn de kategory Futuristysk

137,190

Ferifiearre Priiswinner

Ferifiearje Prisstatus foar #171188

Besjoch by A' Design Award Parseberjocht Priisbadge

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It Untwerp

Oer Sky Route AI Besoargingsdrone

Sky Route AI is in besoargingsdrone dy't ûntworpen is foar lêste-mylle-logistyk mei meardere stops. Ferskate pakketten wurde yn ien inkele flecht meidroegen, laat troch keunstmjittige yntelliginsje foar dynamyske rûteplanning en troch realtime-obstakeldeteksje mei LiDAR- en kameramodules. De romp is makke fan koalstofvezelkompositen, foarme troch CNC-snijen en harsynfúzje, en ynklapbere earmen meitsje flechten troch smelle stedske romten mooglik. Boarstelleaze motoren leverje oant 45 minuten flechttiid per opladen en in laadfermogen fan oant 3 kg. It doel is om kosten te ferleegjen, wachttiden te ferkoartsjen en útstjit te ferminderjen.

De Erkenning

Oer de A' Design Award yn Brûns

Sky Route AI Besoargingsdrone is in winner fan de A' Design Award yn Brûns, in heech prestisjeuze erkenning foar treflike ûntwerpen dy't har ûnderskiede troch kreativiteit, fernuft en tûkens. Brûnswinners binne tige feardige en opfallend kreative artefakten dy't de grutte ûnderfining, ferbylding en betochtsumens fan har ûntwerpers befêstigje. Fan Sky Route AI Besoargingsdrone wurdt ferwachte dat it in tige heech achte, bewûndere en dierber objekt is dat opmerklik profesjoneel en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Brûns yntegrearret de bêste praktiken yn keunst, wittenskip, ûntwerp en technology en is treflik om syn omtinken foar detail. Sky Route AI Besoargingsdrone foldocht behoeften prachtich, reitsjet winsken, betsjoeveret gefoelens en sprekt nijsgjirrigens oan.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen: 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.
Ofmjittingen & Ferpakking: 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.
Labels: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Produksjetechnology: 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.
Untwerpútdaging: 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.
Undersyk: 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.
Ynspiraasje: 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.
Projektdoer: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Operaasjestreamferrin: 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.
Ofbyldingskrediten: 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