Dizayini ya Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu ndi Xilin Tang ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2025 Mphoto ya Bronze ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Zamtsogolo.
BronzeZamtsogolo· 2025
Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu
ndi Xilin Tang
Kasitomala: Osrbot
Wopambana pa Mphoto ya Bronze ya A' Design Award mu Gawo la Zamtsogolo
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #171188Kapangidwe
Za Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu
Sky Route AI ndi ndege yopanda woyendetsa yopangidwa kutumiza katundu m'malo osiyanasiyana pa ulendo umodzi mpaka pomaliza paulendo. Zinthu zingapo zimanyamulidwa paulendo umodzi, motsogozedwa ndi luntha lochita kwaukadaulo (AI) polinganiza njira mwanzeru komanso kuzindikira zopinga mwanthawi yeniyeni kudzera mu ma LiDAR ndi makamera. Thupi la ndegeyi lapangidwa ndi zida zolimba za carbon fiber, zosemedwa pogwiritsa ntchito njira ya CNC ndi kuthiridwa resin, ndipo mapiko ake amatha kupindika kuti izithe kuuluka m'malo opapatiza a m'mizinda. Mainjini a brushless amapereka mphamvu youluka mpaka mphindi 45 pa kachaji kamodzi, ndi kuthekera konyamula katundu wolemera mpaka makilogalamu atatu (3 kg). Cholinga chake ndi kuchepetsa ndalama, kufupikitsa nthawi yodikirira, komanso kuchepetsa kuipitsa mpweya.
Chidziwitso
Za Mphoto ya Bronze ya A' Design Award
Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu ndi mmodzi mwa opambana a Mphoto ya Bronze ya A' Design Award, kuzindikirika kolemekezeka kwambiri komwe kumaperekedwa kwa mapangidwe abwino kwambiri omwe amaonekera ndi luso lolenga, kuchenjera ndi nzeru zakuthwa. Opambana a Bronze ndi zinthu zaluso kwambiri ndi zolenga modabwitsa zomwe zimatsimikizira zochitika zazikulu, kulingalira ndi kuchenjera kwa opanga awo. Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu akuyembekezeka kukhala chinthu choyamikiridwa, chosirira ndi chokondedwa, chaukatswiri wapadera ndi chatsopano. Mapangidwe opambana Mphoto ya Bronze ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a luso, sayansi, kapangidwe ndi ukadaulo ndipo ndi abwino kwambiri chifukwa cha kusamala kwawo zazing'ono. Sky Route AI Ndege Yopanda Woyendetsa Yotumiza Katundu amakwaniritsa zosowa mokongola, kukhudza zilakolako, kukopa mitima ndi kudzutsa chidwi.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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.
- Kafukufuku
- 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.
- Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- Mdondomeko ya Ntchito
- 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.
- Mwini Zithunzi
- 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
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.
