Sky Route AI Leveringsdrone af Xilin Tang er en højt anset vinder af den meget prestigefyldte 2025 A' Design Award i Bronze i konkurrencekategorien Futuristisk Design.
BronzeFuturistisk· 2025
Sky Route AI Leveringsdrone
af Xilin Tang
Klient: Osrbot
Vinder af A' Design Award i Bronze i kategorien Futuristisk
Verificeret Prisvinder
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Om Sky Route AI Leveringsdrone
Sky Route AI er en leveringsdrone designet til multi-stop last mile-logistik. Flere pakker medbringes på en enkelt flyvning, styret af kunstig intelligens til dynamisk ruteplanlægning og af realtids-forhindringsdetektion via LiDAR og kameramoduler. Kroppen er fremstillet af kulfiberkompositter, formet ved CNC-skæring og harpiksinfusion, og sammenfoldelige arme muliggør flyvning gennem smalle byrum. Børsteløse motorer giver op til 45 minutters flyvetid per opladning og en nyttelast på op til 3 kg. Hensigten er at reducere omkostninger, forkorte ventetider og mindske emissioner.
Anerkendelsen
Om A' Design Award i Bronze
Sky Route AI Leveringsdrone er vinder af A' Design Award i Bronze, en højt prestigefyldt anerkendelse, der tildeles enestående designs, som udmærker sig ved kreativitet, opfindsomhed og skarpsindighed. Bronzevinderne er rigeligt dygtige og påfaldende kreative artefakter, der bekræfter deres designeres store erfaring, fantasi og snilde. Sky Route AI Leveringsdrone forventes at være en højt estimeret, beundret og kær genstand, der er bemærkelsesværdigt professionel og innovativ. Dette design, der har vundet A' Design Award i Bronze, indarbejder bedste praksis inden for kunst, videnskab, design og teknologi og er fremragende på grund af sin sans for detaljer. Sky Route AI Leveringsdrone tilfredsstiller pragtfuldt behov, rører længsler, charmerer følelser og appellerer til nysgerrigheden.
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Pressemappe
Credits, teammedlemmer og tekniske detaljer leveret af designeren.
- Unikke Egenskaber
- 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.
- Dimensioner & Emballage
- 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.
- Tags
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- Produktionsteknologi
- 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.
- Designudfordring
- 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.
- Forskning
- 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.
- Inspiration
- 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.
- Projektvarighed
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- Driftsflow
- 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.
- Billedkreditering
- 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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