Sky Route AI Eltiş Drony by Xilin Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award Bürünç Baýragy in Futuristik Dizaýn Competition Category.

BürünçFuturistik· 2025

Sky Route AI Eltiş Drony

by Xilin Tang

Client: Osrbot

A' Design Award Bürünç Baýragy Winner in Futuristik 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 Eltiş Drony

Sky Route AI köp duralgaly soňky menzil logistikasy üçin döredilen eltiş dronydyr. Bir uçuşda birnäçe ýük daşalýar, hereket ugry emeli intellekt tarapyndan dinamiki usulda meýilleşdirilýär hem-de LiDAR we kamera modullary arkaly päsgelçilikler hakyky wagt tertibinde ýüze çykarylýar. Korpusy uglerod süýümli kompozit materiallardan ýasalyp, CNC kesiş we rezin siňdirme usuly bilen şekillendirilýär, epilýän ganatlar bolsa şäheriň dar giňişliklerinden uçmaga mümkinçilik berýär. Şeşiksiz motorlar bir gezek zarýad berlende 45 minuda çenli uçuş wagtyny we 3 kg-a çenli ýük göterijiligini üpjün edýär. Maksat, çykdajylary azaltmak, garaşma wagtyny gysgaltmak we zyňyndylary peseltmekdir.

The Recognition

About the A' Design Award Bürünç Baýragy

Sky Route AI Eltiş Drony A' Design Award Bürünç Baýragynyň ýeňijisidir; bu döredijilik, ussatlyk we ýiti akyl bilen tapawutlanýan tapawutly dizaýnlara berilýän aşa abraýly ykrarnamadyr. Bürünç ýeňijileri dizaýnerleriniň giň tejribesini, hyýalyny we tapawutlylygyny tassyklaýan örän ussat we geň galdyryjy derejede döredijilikli eserlerdir. Sky Route AI Eltiş Drony uly baha berilýän, haýran galynýan we söýülýän, üns çekiji derejede hünärmenlikli we täzelikçi zat bolmagy garaşylýar. A' Design Award Bürünç Baýragyny gazanan bu dizaýn sungatda, ylymda, dizaýnda we tehnologiýada iň oňat tejribeleri öz içine alýar we jikme-jiklige edýän üni bilen ajaýypdyr. Sky Route AI Eltiş Drony zerurlyklary ajaýyp derejede kanagatlandyrýar, isleglere degýär, duýgulary özüne çekýär we gyzyklanmany çekýär.

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