Ko te hoahoa Sky Route AI Rererangi Kawe Rangi Hangarau nā Xilin Tang he kaitoa whakahirahira o te 2025 A' Design Award Parahi i te Wāhanga Whakataetae Hoahoa Anamata.
ParahiAnamata· 2025
Sky Route AI Rererangi Kawe Rangi Hangarau
nā Xilin Tang
Kiritaki: Osrbot
Kaitoa o te A' Design Award Parahi i te Wāhanga Anamata
Kaitoa Tohu Manatokohia
Manatokohia te Tūnga Tohu mō #171188Te Hoahoa
Mō Sky Route AI Rererangi Kawe Rangi Hangarau
Ko Sky Route AI he rererangi kawe i hangaia mō te tuari kawe mea ki nga tauranga maha i te wāhanga whakamutunga o te ara tuari. Ka kawea ētahi pūkoro maha i te rerenga kotahi, e ārahina ana e te atamai hangarau (AI) mō te whakamahere ara tere, me te kitenga aro whakararu i te wā tūturu mā LiDAR me nga waeine kāmera. Ko te tinana i hangaia mai i nga huinga pūmua wahau (carbon fiber composites), i whakaahuahia mā te tapahi CNC me te whakauru pūkākā, ā, ka taea e nga ringa kōpaki te rere puta i nga huarahi taiwhenua whāiti. Ko nga miihini kore-taiaha (brushless motors) e whakarato ana i te rererangi mō te 45 meneti neke atu mō te whakakiko kotahi, me te taimaha kawe tae atu ki te 3 kg. Ko te whāinga kia whakaheke i nga utu, kia whakapotoa nga wā tatari, ā, kia whakaheke i nga tukunga waikura.
Te Whakamihi
Mō te A' Design Award Parahi
Ko Sky Route AI Rererangi Kawe Rangi Hangarau te toa o te A' Design Award Parahi, he whakaaetanga tino whai mana e hoatu ana ki ngā hoahoa kōeke e tohua ana mā te auaha, te mahi mōhio me te whakaaro hōhonu. Ko ngā toa Parahi he mahi pukenga e rite ana, he auaha mīharo, e whakatūturu ana i te wheako nui, te whakaaro me te mōhio-ā-ringa o ā rātou kaihoahoa. E tūmanakohia ana ko Sky Route AI Rererangi Kawe Rangi Hangarau he taonga whakanuia, whakamīharotia, aroha nui, he ngaio, he auaha hoki. Ko tēnei hoahoa i toa i te Parahi e whakauru ana i ngā tikanga pai rawa i te toi, te pūtaiao, te hoahoa me te hangarau, ā, he tino mīharo ki ngā taipitopito. Ka whakatutuki a Sky Route AI Rererangi Kawe Rangi Hangarau i ngā hiahia, ka pā ki ngā hiahia, ka whakaoho i ngā kare-ā-roto, ā, ka kume i te pākiki.
I Muri i te Hoahoa
Kete Pāpāho
Ngā whakamihi, ngā mema o te rōpū me ngā taipitopito hangarau i whakaratohia e te kaihoahoa.
- Āhuatanga Motuhake
- 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.
- Inenga & Pēketanga
- 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.
- Tūtohu
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- Hangarau Whakanao
- 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.
- Wero Hoahoa
- 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.
- Rangahau
- 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.
- Whakaaweawe
- 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.
- Roanga o te Kaupapa
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- Rerenga Mahi
- 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.
- Whakamana Whakaahua
- 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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