Sky Route AI Dròn Lìbhrigidh le Xilin Tang

Tha Sky Route AI Dròn Lìbhrigidh le Xilin Tang na bhuannaiche air leth urramach anns an fharpais chliùitich 2025 Duais Umha A' Design Award ann an Roinn Farpais Dealbhadh Ama ri Teachd.

UmhaAma ri Teachd· 2025

Sky Route AI Dròn Lìbhrigidh

le Xilin Tang

Neach-ceannach: Osrbot

Buannaiche Duais Umha A' Design Award ann an Roinn Ama ri Teachd

137,190

Buannaiche Duais Dearbhaichte

Dearbhaich Inbhe na Duaise airson #171188

Seall aig A' Design Award Brath Naidheachd Suaicheantas Duaise

Dathan

An Dealbhadh

Mu dheidhinn Sky Route AI Dròn Lìbhrigidh

Is dròn lìbhrigidh é Sky Route AI a chaidh a dhealbhadh airson loidsistigs mìle mu dheireadh le grunn stadan. Thathas a' giùlan grunn phacaidean ann an aon turas-adhair, air an stiùireadh le inntinn fhuadain airson planadh slighe fiùghantach agus le lorg cnap-starra ann an fìor-ùine tro mhodalan LiDAR is camara. Tha am bodhaig air a dhèanamh de cho-mheasgaichean carbon-fhaidhre, air an cumadh le gearradh CNC agus lìonadh roisin, agus tha gàirdeanan a tha a' pasgadh a' ceadachadh itealaich tro àiteachan cumhang bailteil. Bheir motaran gun bruis suas ri 45 mionaidean de dh'itealaich anns gach cosnadh cumhachd, agus eallach pàighidh suas ri 3 kg. Is e an rùn cosgaisean a lughdachadh, amannan feitheimh a ghiorrachadh agus sgaoilidhean a lùghdachadh.

An Aithneachadh

Mu dheidhinn Duais Umha A' Design Award

Tha Sky Route AI Dròn Lìbhrigidh air Duais Umha A' Design Award a bhuannachadh, aithneachadh gu math urramach a bheirear do dhealbhaidhean sònraichte a tha air an comharrachadh le cruthachalachd, innleachd agus geurchuis. Tha buannaichean Umha nan obraichean gu math sgileil agus gu sònraichte cruthachail a dhearbhas eòlas farsaing, mac-meanmna agus tapachd an luchd-dealbhaidh. Thathar an dùil gum bi Sky Route AI Dròn Lìbhrigidh na nì air a bheil mòran meas, ion-mholta agus gràdhach, a tha gu sònraichte proifeiseanta agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Umha A' Design Award a' cur nan cleachdaidhean as fheàrr ann an ealain, saidheans, dealbhadh agus teicneolas an gnìomh, agus tha e sàr-mhath airson an aire do mhion-fhiosrachadh. Bidh Sky Route AI Dròn Lìbhrigidh a' sàsachadh fheumalachdan gu h-iongantach, a' suathadh ri miannan, a' tàladh faireachdainnean agus a' togail fiosrachd.

Air Cùl an Dealbhaidh

Pasgan Naidheachd

Creideasan, buill sgioba agus fiosrachadh teicnigeach a chuir an dealbhaiche ri chèile.

Feartan Sònraichte: 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.
Tomhasan & Pacadh: 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.
Tagaichean: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Teicneòlas Cinneasachaidh: 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.
Dùbhlan Dealbhaidh: 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.
Rannsachadh: 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.
Brosnachadh: 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.
Faid a' Phròiseict: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Sruth Obrachaidh: 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.
Creideasan Dhealbhan: 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