Sky Route AI Pristatymo dronas by Xilin Tang

Sky Route AI Pristatymo dronas by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Bronzinis apdovanojimas A' Design Award in Futuristinis dizainas Competition Category.

BronzinisFuturistinis· 2025

Sky Route AI Pristatymo dronas

by Xilin Tang

Client: Osrbot

Bronzinis apdovanojimas A' Design Award Winner in Futuristinis Category

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Verified Award Winner
Verify Award Status for #171188

View at A' Design Award Press Release Award Badge

Colors

The Design

About Sky Route AI Pristatymo dronas

„Sky Route AI“ yra pristatymo dronas, skirtas kelių sustojimų paskutinės mylios logistikai. Vieno skrydžio metu gabenami keli siuntiniai, kurių maršrutą dinamiškai planuoja dirbtinis intelektas, o kliūtys realiu laiku aptinkamos naudojant LiDAR ir kamerų modulius. Korpusas pagamintas iš anglies pluošto kompozitų, suformuotų CNC pjovimo ir dervos infuzijos būdu, o sulankstomos rankos leidžia skristi per siaurus miesto tarpus. Bešepetėliniai varikliai užtikrina iki 45 minučių skrydžio trukmę viename įkrovime ir iki 3 kg naudingąją apkrovą. Siekiama sumažinti išlaidas, sutrumpinti laukimo laiką ir sumažinti išmetamų teršalų kiekį.

The Recognition

About the Bronzinis apdovanojimas A' Design Award

Sky Route AI Pristatymo dronas laimėjo Bronzinį apdovanojimą A' Design Award, labai prestižinį pripažinimą, skiriamą išskirtiniams dizainams, kuriuos žymi kūrybiškumas, išradingumas ir sumanumas. Bronzos laureatai yra pakankamai įgudę ir stulbinamai kūrybingi dirbiniai, patvirtinantys jų kūrėjų didelę patirtį, vaizduotę ir išteklių gausą. Tikimasi, kad Sky Route AI Pristatymo dronas bus aukštai vertinamas, žavimas ir brangus daiktas, žymiai profesionalus ir novatoriškas. Šis Bronziniu apdovanojimu įvertintas dizainas įtraukia geriausias praktikas mene, moksle, dizaine ir technologijose ir yra puikus dėl dėmesio detalėms. Sky Route AI Pristatymo dronas puikiai tenkina poreikius, paliečia troškimus, žavi jausmus ir traukia smalsumą.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 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
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Project Duration: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Operation Flow: 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.
Image Credits: 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