Tambaga Futuristik · 2025
Sky Route AI Fungsi Utama: Drone Pengantara
by Xilin Tang
- A' Design Award Tambaga 2025 in Futuristik
- CLIENT: Osrbot
- Estimated Number of Design Views: 137,190
- Verification code 92718E2A9E · Verify this award
Colors
About Sky Route AI Fungsi Utama: Drone Pengantara
Teks Buku: Sky Route AI iyanaritu drone pengantara iyya dirancang untuk logistik last mile iyya mappunna maega tempa'na mappésona. Siyagana paket ritiwi'i ri laleng sisséddi anré'na, ripimping ri kacce'de artificial intelligence untu' perencanaan rute iyya dinamis sibawa deteksi rambang secara real time naolai LiDAR sibawa modul kamera. Watakkalé'na riébbu' polé ri komposit serat karbon, ribentu' naolai CNC cutting sibawa resin infusion, na limang iyya wedding rilipa' napalalo anré' molai ruang kota iyya masempi'. Motor brushless mabbéré tenaga anré' narapi' 45 minu' ri laleng sisséddi cas sibawa daya angka' narapi' 3 kg. Tujunna iyanaritu untu' napakaringeng biaya, napasingkeddo'i wettu tajeng, sibawa napakuranngi emisi.
About the A' Design Award Tambaga
Sky Route AI Fungsi Utama: Drone Pengantara iyanaritu pakoro A' Design Award Tambaga, pakalebbi iya malompo tongeng iya ripabbere ri desain luar biasa iya riissengngi nasaba kreativitas, kecerdikan sibawa ketajaman. Pakoro Tambaga iyanaritu artefak iya terampil sibawa mappabbura kreatif iya mappabbentuk pengalaman iya maega, imajinasi sibawa kecerdikan tau mabbuat. Sky Route AI Fungsi Utama: Drone Pengantara ripakkirangngi mancaji objek iya ripakalebbi, ripuji sibawa rirennu, profesional sibawa inovatif. Desain pakoro A' Design Award Tambaga iyae mappasilaong praktik tepat ri seni, sains, desain sibawa teknologi sibawa makessing nasaba perhatiannna ri detail. Sky Route AI Fungsi Utama: Drone Pengantara mappabbura kebutuhan makessing, mappakkela keinginan, mappabbentuk perasaan sibawa mappabbura rasa penasaran.
Press Kit
- Unique Properties
- 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.
- Dimensions & Packaging
- 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.
- Tags
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- Production Technology
- 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.
- Design Challenge
- 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.
- Research
- 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.
- Inspiration
- 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.
- Project Duration
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- Operation Flow
- 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.
- Image Credits
- 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
