Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya daga Xilin Tang

Zane Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya daga Xilin Tang mai nasara ne mai daraja sosai na 2025 Kyautar A' Design Award ta Tagulla a Rukunin Gasar Makomar Gaba.

TagullaMakomar Gaba· 2025

Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya

daga Xilin Tang

Abokin Ciniki: Osrbot

Mai Nasarar Kyautar A' Design Award ta Tagulla a Rukunin Makomar Gaba

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Mai Nasara da Aka Tabbatar

Tabbatar da Matsayin Kyauta na #171188

Duba a A' Design Award Sanarwar Manema Labarai Alamar Kyauta

Launuka

Ƙirar

Game da Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya

Rubutun Littafi: Sky Route AI jirgin bincike ne na isar da kaya wanda aka tsara don yin tafiye-tafiye da yawa a matakin ƙarshe na safarar kaya. Ana ɗaukar kunshi-kunshi da yawa a cikin tafiya guda ɗaya, ta hanyar jagorancin fasahar hankali na wucin gadi don tsara hanya cikin sauri da kuma gano cikas nan take ta hanyar amfani da na'urorin LiDAR da kyamara. An gina jikin jirgin da kayan gaurayen fiber na carbon, wanda aka fasala ta hanyar yankan CNC da kuma zuba resin, sannan hannayen da ke naɗewa suna ba da damar tashi cikin ƙananan wurare na birni. Motoci masu ƙarfi marasa buroshi suna ba da damar tashi na tsawon mintuna 45 a kowace caji, tare da ɗaukar nauyi har zuwa kilogiram 3. Manufar wannan ƙirar ita ce rage farashi, rage lokacin jira, da kuma rage gurɓacewar iska.

Amincewa

Game da Kyautar A' Design Award ta Tagulla

Zanen Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya ya lashe Kyautar A' Design Award ta Tagulla, wata karramawa mai tsananin daraja da ake bai wa zane-zane na musamman waɗanda ke da ƙirƙira, basira da hikima. Waɗanda suka lashe kyautar Tagulla kayayyakin fasaha ne masu ƙwarewa da ƙirƙira mai ban mamaki waɗanda ke tabbatar da babban gogewa, tunani da dabarun masu zanensu. Ana sa ran zanen Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya ya zama abu da ake girmamawa sosai, ake sha'awa da ƙauna, mai ƙwarewa da ƙirƙire-ƙirƙire. Wannan zane da ya lashe Kyautar A' Design Award ta Tagulla yana haɗa mafi kyawun ayyuka a fasaha, kimiyya, zane da fasahar zamani, kuma yana da kyau saboda kulawarsa ga cikakkun bayanai. Zanen Sky Route AI Aikin Farko: Jirgin Bincike na Isar da Kaya yana biyan buƙatu da kyau, yana taɓa sha'awa, yana jan hankalin zukata kuma yana jawo sha'awar sani.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: 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.
Girma da Fakitin: 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.
Kalmomin Alama: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Fasahar Samarwa: 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.
Ƙalubalen Zane: 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.
Bincike: 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.
Wahayi: 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.
Tsawon Lokacin Aikin: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Tsarin Aiki: 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.
Godiyar Hotuna: 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