ʻO Sky Route AI Mīkini Lele Hoʻopuka Waiwai na Xilin Tang he mea lanakila hanohano loa o ka 2025 A' Design Award Keleawe ma ka Māhele Hoʻokūkū Hoʻolālā No Ka Wā E Hiki Mai Ana.
KeleaweWā Hiki Mai· 2025
Sky Route AI Mīkini Lele Hoʻopuka Waiwai
na Xilin Tang
Mea Kūʻai: Osrbot
Mea Lanakila A' Design Award Keleawe ma ka Māhele Wā Hiki Mai
Mea Lanakila i Hōʻoia ʻIa
Hōʻoia i ke Kūlana Makana no #171188Ka Hoʻolālā
E Pili Ana iā Sky Route AI Mīkini Lele Hoʻopuka Waiwai
Ke Ala Lani AI, he mīkini lele hoʻopuka waiwai i hoʻolālāʻia no ka lawe waiwai ʻana i nā kahua ʻāina like ʻole ma ka hopena o ke ala. Lawe ʻia kekahi mau pūʻolo like ʻole i loko o hoʻokahi lele, alakaʻiʻia e ka naʻauao mīkini no ka hoʻolālā ʻana i ke ala ma ke ʻano hoʻololi, a me ka ʻike ʻana i nā keʻa ma ka manawa maoli ma o nā mīkini LiDAR a me nā pōʻai kiʻi paʻi. Hana ʻia ke kino me nā mea hui kaula kalapona, i hoʻokalaiʻia ma ke ʻano CNC a me ka hoʻopiha reina, a hiki i nā lima pelu ke lele ma waena o nā wahi ʻāina kaona haiki. Hāʻawi nā mīkini ʻoki uila i ka lele a hiki i 45 minuke no kēlā me kēia hoʻopiha uila a me ka ukana kaumaha a hiki i 3 kilokini. ʻO ka manaʻo, ʻo ia ka hoʻohaʻahaʻa ʻana i ke kumukūʻai, ka hōʻoʻoi ʻana i ka manawa kali, a me ka hoʻemi ʻana i nā mea hoʻopau ea.
Ka Hoʻomaikai
E Pili Ana i ka A' Design Award Keleawe
Ua lanakila ka hoʻolālā Sky Route AI Mīkini Lele Hoʻopuka Waiwai i ka A' Design Award Keleawe, he ʻike hoʻohanohano nui loa i hāʻawi ʻia i nā hoʻolālā kūʻokoʻa i ʻike ʻia ma o ka hana noʻeau, ka akamai a me ka makakoho. He mau hana mākaukau a hana noʻeau kupaianaha nā lanakila Keleawe e hōʻoia ana i ka ʻike nui, ka noʻonoʻo a me ka maʻalea o kā lākou poʻe hoʻolālā. Manaʻo ʻia ʻo ka hoʻolālā Sky Route AI Mīkini Lele Hoʻopuka Waiwai he mea i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia, he ʻoihana a hou loa. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Keleawe e hoʻohui ana i nā hana maikaʻi loa o ka hana noʻeau, ka ʻepekema, ka hoʻolālā a me ka ʻenehana, a maikaʻi no kona nānā ʻana i nā kikoʻī. Hoʻokō maikaʻi ka hoʻolālā Sky Route AI Mīkini Lele Hoʻopuka Waiwai i nā pono, hoʻopā i ka makemake, hoʻohiwahiwa i nā manaʻo a huki i ka makemake e ʻike.
Ma Hope o ka Hoʻolālā
ʻEke Nūhou
Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.
- Nā ʻAno Kūʻokoʻa
- 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.
- Nā Ana a me ka Hoʻopili
- 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.
- Nā Lepili
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- ʻEnehana Hana
- 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.
- Pilikia Hoʻolālā
- 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.
- Noiʻi
- 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.
- Hoʻoulu Manaʻo
- 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.
- Ka Lōʻihi o ka Papahana
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- Kaʻina Hana
- 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.
- Nā Kuleana Kiʻi
- 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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