Sky Route AI Drone Fanaterana nataon'i Xilin Tang

Ny endrika Sky Route AI Drone Fanaterana nataon'i Xilin Tang dia mpandresy sarobidy amin'ny 2025 A' Design Award Varahina amin'ny Sokajin'ny Fifanintsanana Famolavolana Ho Avy.

VarahinaHo Avy· 2025

Sky Route AI Drone Fanaterana

nataon'i Xilin Tang

Mpanjifa: Osrbot

Mpandresy A' Design Award Varahina amin'ny Sokajy Ho Avy

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Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #171188

Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Sky Route AI Drone Fanaterana

Sky Route AI dia drone fanaterana natao ho an'ny fizotran'ny fanaterana entana amin'ny toby maro mifandimby amin'ny dingana farany. Entana maromaro no entina amin'ny sidina tokana, tarihin'ny faharanitan-tsaina artifisialy amin'ny fandrindrana lalana mihetsika ary ny fahitana sakana amin'ny fotoana marina amin'ny alalan'ny LiDAR sy modiolina fakan-tsary. Ny vatan'ny drone dia vita amin'ny composites fibre carbone, endrika avy amin'ny fitrandrahana CNC sy ny fampidirana rezina, ary ny sandriny mety mihetsika dia mamela ny sidina hamakivaky ny toerana maro an'isa ao an-tanàn-dehibe. Ny maotera brushless dia mamokatra sidina mandritra ny 45 minitra fara-fahakeliny isaky ny fitefena, ary entana mavesatra hatramin'ny 3 kg. Ny tanjona dia ny fampihenana ny vidiny, fanafohezana ny fotoana fiandrasana ary fampihenana ny fivoahan'ny entona mampidoto.

Ny Fankasitrahana

Momba ny A' Design Award Varahina

Nandresy ny A' Design Award Varahina ny famolavolana Sky Route AI Drone Fanaterana, fankasitrahana malaza be omena ny famolavolana miavaka izay mampiavaka ny fahaiza-mamorona, ny fahazotoana ary ny fahamaotinan-tsaina. Ny mpandresy Varahina dia zavatra vita tanana mahay dia mahay ary mamorona mivantana izay manamafy ny traikefa be dia be, ny sarintsaina ary ny fahaizan-kafoy an'ny mpamolavola azy. Andrasana ho zavatra ankasitrahana be, ankafizina ary tiana, mahay amin'ny asa sady vaovao ny famolavolana Sky Route AI Drone Fanaterana. Ity famolavolana nandresy ny A' Design Award Varahina ity dia mitahiry ny fomba fanao tsara indrindra amin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia, ary tsara indrindra amin'ny fitandremana ny antsipirihany. Ny famolavolana Sky Route AI Drone Fanaterana dia mahafa-po ny filana tsara, mikasika ny faniriana, mahasarika ny fihetseham-po ary misarika ny fahalianana.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Fizotr'asa: 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.
Loharanon-tsary: 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