Xilin Tang ᱨᱮᱱᱟᱜ Sky Route AI डिलिवरी ड्रोन ᱫᱚ ᱵᱷᱚᱵᱤᱥᱭᱚᱛ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱠᱟᱥᱟᱵᱷᱚᱵᱤᱥᱭᱚᱛ· 2025
Sky Route AI डिलिवरी ड्रोन
Xilin Tang ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Osrbot
ᱵᱷᱚᱵᱤᱥᱭᱚᱛ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#171188 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Sky Route AI डिलिवरी ड्रोन ᱵᱟᱵᱚᱛ ᱛᱮ
बुक टेक्स्ट: स्काई रूट एआई एकटा डिलिवरी ड्रोन मेनखान बहुत ठाँय (मल्टी स्टॉप) ठेनাক् लास्ट माइल लॉजिस्टिक रे बानाओ लेकाते बानाओ आकान। मेनखान उड़ान रे बहुत पैकेज इदी लागित एकटा आर्टिफिशियल इंटेलिजेंस डायनामिक रूट प्लानिंग आर लिडार आर कैमरा मॉड्यूल रेयाक् रियल टाइम ओब्स्टेकल डिटेक्शन दो बानुक आकान। बॉडी दो कार्बन फाइबर कम्पोजिट रेयाक् बानाओ आकान, सीएनसी कटिंग आर रेजिन इन्फ्यूजन रेयाक् आकृति एम आकान, आर फोल्डिंग आर्म दो सहर रेयाक् संकुचित जायगा रेयाक् दिशोम उड़ान लागित रास्ता एम काना। ब्रशलेस मोटर दो एकटा चार्ज रे 45 मिनिट तक उड़ान आर 3 केजी तक पेलोड एम काना। एनाक् मुल उद्देश दो खरचा कम करेच, राखी सम कम करेच आर उत्सर्जन कम करेच लेकाते बानाओ आकान।
ᱢᱟᱱᱟᱱ
A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Sky Route AI डिलिवरी ड्रोन ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Sky Route AI डिलिवरी ड्रोन ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- 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.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 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.
- ᱴᱮᱜ ᱠᱚ
- Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- 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.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- 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.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- 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.
- ᱯᱨᱮᱨᱚᱱᱟ
- 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.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- 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.
- ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- 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
ᱥᱯᱚᱱᱥᱚᱨᱰ
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ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
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