Neidio i'r cynnwys
Sky Route AI Dron Danfon gan Xilin Tang

Mae Sky Route AI Dron Danfon gan Xilin Tang yn enillydd uchel ei barch o'r 2025 Gwobr Efydd A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Dyfodolaidd.


EfyddDyfodolaidd· 2025

Sky Route AI Dron Danfon

gan Xilin Tang

Cleient: Osrbot

Enillydd Gwobr Efydd A' Design Award yn y Categori Dyfodolaidd

139,713

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #171188

Lliwiau

Y Dyluniad

Am Sky Route AI Dron Danfon

Mae Sky Route AI yn ddron danfon wedi'i chynllunio ar gyfer logisteg milltir olaf gydag aros lluosog. Cludir sawl parsel mewn un hediad, wedi'i harwain gan ddeallusrwydd artiffisial ar gyfer cynllunio llwybrau deinamig ac wrth ganfod rhwystrau amser real trwy fodylau LiDAR a chamera. Gwneir y corff o gyfansoddion ffibr carbon, wedi'i lunio trwy dorri CNC a chwistrellu resin, ac mae breichiau plygu yn caniatáu hedfan trwy fylchau trefol cul. Mae moduron heb frwshys yn darparu hyd at 45 munud o hediad fesul gwefr a llwyth defnyddiol o hyd at 3 kg. Y bwriad yw gostwng costau, byrhau amseroedd aros a lleihau allyriadau.

Y Gydnabyddiaeth

Am y Gwobr Efydd A' Design Award

Mae Sky Route AI Dron Danfon yn enillydd Gwobr Efydd A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau rhagorol sydd yn nodedig am greadigrwydd, dyfeisgarwch a chraffter. Mae enillwyr Efydd yn arteffactau medrus iawn a thrawiadol o greadigol sydd yn dilysu profiad helaeth, dychymyg a dyfeisgarwch eu dylunwyr. Disgwylir i Sky Route AI Dron Danfon fod yn wrthrych uchel ei fri, a edmygir ac a anwylir, sydd yn nodedig o broffesiynol ac arloesol. Mae'r dyluniad buddugol hwn o Wobr Efydd A' Design Award yn ymgorffori arferion gorau mewn celf, gwyddoniaeth, dylunio a thechnoleg, ac yn rhagorol am ei sylw i fanylion. Mae Sky Route AI Dron Danfon yn bodloni anghenion yn odidog, yn cyffwrdd â dyheadau, yn swyno teimladau ac yn apelio at chwilfrydedd.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw
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.
Dimensiynau a Phecynnu
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.
Tagiau
Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Technoleg Cynhyrchu
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.
Her Dylunio
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.
Ymchwil
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.
Ysbrydoliaeth
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.
Hyd y Prosiect
The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Llif Gweithrediad
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.
Cydnabyddiaeth Delweddau
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

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