Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa na Xilin Tang

Umushinga Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa wa Xilin Tang ni uwatsinze igihembo cyubahwa cyane 2025 Igihembo cya A' Design Award cya Buronze mu Cyiciro cy'Ihiganwa cya Igishushanyo cy'Iby'Ejo Hazaza.

BuronzeIby'Ejo Hazaza· 2025

Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa

na Xilin Tang

Umukiriya: Osrbot

Uwatsinze Igihembo cya A' Design Award cya Buronze mu Cyiciro cya Iby'Ejo Hazaza

139,713

Uwatsinze Igihembo Yemejwe

Emeza Uko Igihembo Gihagaze ku #171188

Reba kuri A' Design Award Itangazo ry'Ikinyamakuru Ikimenyetso cy'Igihembo

Amabara

Imigereranyo

Ibyerekeye Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa

Sky Route AI ni indege itagira umushoferi (drone) yagenewe gutanga ibicuruzwa mu ngendo nyinshi zisoza urugendo rw'ibicuruzwa (last mile logistics). Ipaki nyinshi zitwarwa mu ndege imwe, ziyobowe n'ubwenge bwikoranabuhanga (AI) mu gutegura inzira mu buryo buhinduka, hamwe no kumenya ibibuza inzira mu gihe nyacyo binyuze muri sisitemu za LiDAR n'amakamera. Umubiri wayo ukorwa mu bikoresho bivanze bya fibre za karubone (carbon fiber composites), bikabazwa hakoreshejwe uburyo bwa CNC no gushyiramo resin, naho amaboko yayo agabanuka agafasha indege kunyura mu turere twa hafi two mu mijyi. Moteri za brushless zitanga ubushobozi bwo kuguruka igihe kingana n'iminota 45 kuri buri gushyuza rimwe, hamwe n'ubushobozi bwo gutwara ibiro bigera kuri 3. Intego ni ugabanya ikiguzi, kugabanya igihe cyo gutegereza, no kugabanya ibyuka bihumanya ikirere.

Ishimwe

Ibyerekeye Igihembo cya A' Design Award cya Buronze

Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa ni uwegukanye Igihembo cya A' Design Award cya Buronze, ishimwe ry'agaciro gakomeye ritangwa ku bishushanyo by'indashyikirwa birangwa no guhanga, ubwenge n'ubushishozi. Abegukanye Buronze ni ibihangano bifite ubuhanga bwinshi kandi bihanga cyane, bishimangira uburambe, ubwenge n'ubushobozi bw'ababihanze. Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa biteganyijwe ko izaba ikintu cyubahwa, gishimwa kandi gikundwa, gifite ubunyamwuga n'udushya. Iki gishushanyo cyegukanye Buronze gikoresha uburyo bwiza mu buhanzi, ubumenyi, ubushushanyo n'ikoranabuhanga kandi kirarenze mu gutaha ku tuntu duto. Sky Route AI Indege Itagira Umushoferi Itanga Ibicuruzwa ishimisha ibyo dukeneye, ikora ku byifuzo byacu, itwara amarangamutima yacu kandi ikurura amatsiko yacu.

Inyuma y'Imigereranyo

Dosiye y'Itangazamakuru

Amazina y'abagize uruhare, abagize itsinda n'amakuru y'ubuhanga byatanzwe n'umuhanzi.

Ibintu Bidasanzwe: 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.
Ibipimo n'Ipaki: 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.
Ibibazo Fatizo: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Ikoranabuhanga ryo Guteza Imbere: 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.
Ikibazo cy'Ishusho: 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.
Ubushakashatsi: 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.
Ibyatumye Habaho: 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.
Igihe cy'Umushinga: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Uburyo bw'Imikorere: 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.
Abafotoye: 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