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Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé láti ọwọ́ Xilin Tang

Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé láti ọwọ́ Xilin Tang jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ọjọ́ Iwájú.


IdẹỌjọ́ Iwájú· 2025

Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé

látọ̀wọ́ Xilin Tang

Oníbàárà: Osrbot

Aṣẹ́gun Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ọjọ́ Iwájú

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #171188

Àwọ̀

Àpẹrẹ Náà

Nípa Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé

Sky Route AI jẹ́ drone ìfilọ́lé tí a ṣe àpẹrẹ rẹ̀ fún gbígbé ẹrù lọ sí ibi púpọ̀ ní ìdúró ìkẹyìn ìrìnàjò (last mile logistics). Ọ̀pọ̀lọpọ̀ ẹrù ni a máa ń gbé ní ìrìnàjò kan ṣoṣo, tí ọgbọ́n orí atọwọdá (artificial intelligence) ń darí fún ìpèsè ọ̀nà tí ó ṣeé yí padà àti fún wíwá àwọn ìdíwọ́ ní àsìkò gidi nípasẹ̀ àwọn módù LiDAR àti kámẹ́rà. A fi carbon fiber composite kọ́ ara rẹ̀, tí a ṣe àpẹrẹ rẹ̀ nípasẹ̀ gígé CNC àti ìtú resin, àti pé àwọn apá tí ó lè ṣíṣẹ́pọ̀ (folding arms) jẹ́ kí ó lè fò kọjá àwọn àyè tóóró ní àárín ìlú. Àwọn motor brushless pèsè àkókò fífò tí ó lè fi dé ìṣẹ́jú 45 fún ìgbà kan tí a bá gbá agbára, àti agbára gbígbé ẹrù tí ó lè fi dé kìlógíráàmù mẹ́ta (3 kg). Ète náà ni láti dín iye owó kù, láti kúrú àkókò dídúró de, àti láti dín ìtújáde eérú (emissions) kù.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Idẹ A' Design Award

Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Sky Route AI Ọkọ̀ Òfurufú Ìfilọ́lé ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe
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.
Ìwọ̀n àti Àpò
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.
Àwọn Àkọlé
Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀
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.
Ìpèníjà Àpèsè
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.
Ìwádìí
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.
Ìmísí
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.
Àkókò Iṣẹ́ Àkànṣe
The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Ìlànà Ìṣiṣẹ́
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.
Ìfọwọ́sí Àwòrán
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

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