Sky Route AI Дрони расонидан by Xilin Tang

Sky Route AI Дрони расонидан by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Ҷоизаи биринҷии A' Design Award in Дизайни оянданигар Competition Category.

БиринҷОянданигар· 2025

Sky Route AI Дрони расонидан

by Xilin Tang

Client: Osrbot

Ҷоизаи биринҷии A' Design Award Winner in Оянданигар Category

137,190

Verified Award Winner

Verify Award Status for #171188

View at A' Design Award Press Release Award Badge

Colors

The Design

About Sky Route AI Дрони расонидан

Матни китоб: Sky Route AI дрони расонидане мебошад, ки барои логистикаи "мили охирин" бо якчанд истгоҳ пешбинӣ шудааст. Дар як парвоз якчанд бастабандӣ интиқол дода мешавад, ки бо ёрии зеҳни сунъӣ барои банақшагирии динамикии масир ва ошкорсозии монеаҳо дар вақти воқеӣ тавассути модулҳои LiDAR ва камера роҳнамоӣ мешавад. Корпус аз композитҳои карбонӣ сохта шудааст, ки бо буриши CNC ва усули иштибоҳи резин шакл гирифтааст, ва бозуҳои катшаванда имкони парвозро дар фазоҳои танги шаҳрӣ фароҳам меоранд. Муҳаррикҳои бидуни фурчаи барқӣ то 45 дақиқа парвозро дар як шарж таъмин мекунанд ва зарфияти боркашӣ то 3 кг мебошад. Мақсад коҳиш додани хароҷот, кӯтоҳ кардани муддати интизорӣ ва паст кардани партовҳои газ мебошад.

The Recognition

About the Ҷоизаи биринҷии A' Design Award

Sky Route AI Дрони расонидан ғолиби Ҷоизаи биринҷии A' Design Award аст, ки эътирофи басо обрӯманд буда, ба тарҳҳои барҷаста дода мешавад, ки бо эҷодкорӣ, зеҳни тез ва зиракӣ фарқ мекунанд. Ғолибони биринҷ артефактҳои хеле моҳир ва ба таври ҷолиб эҷодкоронаанд, ки таҷрибаи васеъ, тасаввурот ва зеҳни тарроҳони худро тасдиқ мекунанд. Интизор меравад, ки Sky Route AI Дрони расонидан ашёи хеле қадршуда, мавриди таҳсин ва маҳбуб бошад, ки ба таври назаррас касбӣ ва навоварона аст. Ин тарҳи ғолиби Ҷоизаи биринҷии A' Design Award беҳтарин амалияро дар санъат, илм, тарроҳӣ ва технология дар бар мегирад ва бо диққати худ ба тафсилот аъло аст. Sky Route AI Дрони расонидан эҳтиёҷотро бо зебоӣ қонеъ мекунад, ба хостаҳо даст мерасонад, эҳсосотро мафтун месозад ва кунҷковиро ҷалб мекунад.

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