Sky Route AI Ndege Nnyefe by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Ihe Nrite A' Design Award nke Bronz in Nhazi Nke Ọdịnihu Competition Category.

BronzNke Ọdịnihu· 2025

Sky Route AI Ndege Nnyefe

by Xilin Tang

Client: Osrbot

Ihe Nrite A' Design Award nke Bronz Winner in Nke Ọdịnihu Category

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Verified Award Winner
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The Design

About Sky Route AI Ndege Nnyefe

Sky Route AI bụ ndege nnyefe (drone) e mere maka nnyefe ngwaahịa n'ọtụtụ ọnọdụ nkechi ikpeazụ. A na-ebu ọtụtụ ngwaahịa n'otu ugbo efe, nke ọgụgụ isi mmepụta (artificial intelligence) na-eduzi maka ịhazi ụzọ na-agbanwe agbanwe, yana ihe nchọpụta ihe mgbochi n'oge n'oge site na LiDAR na igwefoto (camera modules). Ahụ ya bụ nke e ji ngwongwo carbon fiber composite mee, nke e jiri CNC bee ma jiri resin infusion kpụọ ya, na ogwe aka mpịakọta na-enye ohere ka ọ na-efeghari n'ime obere ohere obodo. Igwe na-akpali (brushless motors) na-enye ike ifeghari ruo nkeji iri anọ na ise (45) n'otu ọba ọkụ, yana ike ibu ngwaahịa ruo kilogram atọ (3kg). Ebumnobi ya bụ ibelata ọnụ ahịa, mebelata oge nchere, na belata mmefu ikuku na-emerụ ahụ (emissions).

The Recognition

About the Ihe Nrite A' Design Award nke Bronz

Sky Route AI Ndege Nnyefe meriri A' Design Award nke Bronz, nnabata dị oke ugwu e nyere design ndị pụtara ìhè nke a ma ama maka nzụlite ihe, ọgụgụ isi na nghọta. Ndị meriri na Bronz bụ ihe e mere nke ndị nwere nka nke ukwuu ma dị mma n'imepụta nke na-egosi ahụmahụ buru ibu, echiche na ọgụgụ isi nke ndị designer ha. A na-atụ anya na Sky Route AI Ndege Nnyefe ga-abụ ihe a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya, nke dị oke ọrụ ma dị ọhụrụ. Design a meriri A' Design Award nke Bronz na-agụnye ụzọ kacha mma n'ime nka, sayensị, design na teknụzụ, ma dị mma nke ukwuu maka nlebara anya ya n'obere ihe. Sky Route AI Ndege Nnyefe na-emezu mkpa nke ọma, na-emetụ ọchịchọ aka, na-adọrọ mmetụta obi ma na-adọta ọchịchọ ịmara.

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