Sky Route AI Fonksyon Prensipal: Dwon Livrezon pa Xilin Tang

Dizayn Sky Route AI Fonksyon Prensipal: Dwon Livrezon pa Xilin Tang se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2025 A' Design Award Bwonz nan Kategori Konpetisyon Fituris.

BwonzFituris· 2025

Sky Route AI Fonksyon Prensipal: Dwon Livrezon

pa Xilin Tang

Kliyan: Osrbot

Gayan A' Design Award Bwonz nan Kategori Fituris

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Verifye Estati Pri pou #171188

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Sky Route AI Fonksyon Prensipal: Dwon Livrezon

Tèks Liv: Sky Route AI se yon dwon livrezon ki fèt pou lojistik dènye etap ki gen plizyè kanpo. Plizyè pakèt yo pote nan yon sèl vòl, gide pa entèlijans atifisyèl pou planifikasyon wout dinamik ak pa deteksyon obstak an tan reyèl atravè modil LiDAR ak kamera. Kò a fèt ak konpozit fib kabòn, fòme pa koupe CNC ak enfizyon rezin, epi bra pliyab yo pèmèt vòl atravè espas iben etwat. Motè san bwòs bay jiska 45 minit vòl pou chaj ak yon chaj itil jiska 3 kg. Objektif la se pou bese pri, diminye tan datant ak redwi emisyon.

Rekonesans lan

Konsènan A' Design Award Bwonz

Sky Route AI Fonksyon Prensipal: Dwon Livrezon se yon ganyan A' Design Award Bwonz, yon rekonesans ki gen anpil prestij yo bay design ekselan ki make pa kreyativite, enjenyozite ak finès. Ganyan Bwonz yo se objè ki abil anpil e ki kreyatif nan fason ki frape, ki otantifye gwo eksperyans, imajinasyon ak debouyaj designer yo. Yo atann Sky Route AI Fonksyon Prensipal: Dwon Livrezon pou se yon objè anpil moun estime, admire e renmen, ki pwofesyonèl e inovatè nan fason remakab. Design sa a ki ganyen A' Design Award Bwonz enkòpore pi bon pratik nan atizay, syans, design ak teknoloji, e li ekselan pou atansyon li bay detay. Sky Route AI Fonksyon Prensipal: Dwon Livrezon satisfè bezwen yon fason espledid, li touche dezi, li chame santiman e li atire kiryozite.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Fliks Operasyon: 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.
Kredi Imaj: 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