Sky Route AI Isiqhubi soKuHambisa ngu-Xilin Tang

Uyilo olubizwa ngokuba yi-Sky Route AI Isiqhubi soKuHambisa olwenziwe ngu-Xilin Tang ngumwini obekekileyo webhaso elinobukhazikhazi le-2025 Ibhaso Lebhronzi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweKamva.

IbhronziYekamva· 2025

Sky Route AI Isiqhubi soKuHambisa

ngu Xilin Tang

Umxhasi: Osrbot

Umwini we-Ibhaso Lebhronzi le-A' Design Award Kudidi Lwe-Yekamva

139,713

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#171188

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Sky Route AI Isiqhubi soKuHambisa

Isicelo se-Sky Route AI sisicelo esihamba emoyeni esiyilelwe ukuhambisa impahla kwiindawo ezininzi ekugqibeleni kohambo. Iipakethe ezininzi zithwalwa kuhambo olunye, zikhokelwa bubuchule bobuzobuchule (artificial intelligence) ukuze kucwangciswe indlela ngokutshintshayo, kunye nokubona izithintelo ngexesha lokwenyani ngezixhobo ze-LiDAR needixesha zekhamera. Umzimba wenziwe ngezinto ezidityanisiweyo zekhabhoni (carbon fiber composites), ezibunjwe ngokusika kwe-CNC nangokufakwa kwesigxina, kwaye iingalo ezisongwayo zivumela ukubhabha kwiindawo ezimxinwa zezixeko. Iinjini ezingenazo ii-brush zinika ixesha lokubhabha elingafikelela kwimizuzu engama-45 ngokuchaja okunye, kunye nomthwalo ongafikelela kwii-kg ezi-3. Injongo kukunciphisa iindleko, ukufutshanisa ixesha lokulinda nokunciphisa ukukhutshwa kwesisi esingcolisa umoya.

Ukuqatshelwa

Malunga ne-Ibhaso Lebhronzi le-A' Design Award

Sky Route AI Isiqhubi soKuHambisa ngumphumeleli weIbhaso Lebhronzi le-A' Design Award, ukuqatshelwa okuhlonitshwayo kakhulu okunikwa imiyilo ephawulekayo eyahlukaniswa kukuyila, ubukrelekrele nobukrelekrele. Abaphumeleleyo beBhronzi ziimveliso ezinobuchule obukhulu nezidala ngokumangalisayo ezingqina amava aphangaleleyo, ukucinga nokwazi ukuzenzela kwabayili bazo. Sky Route AI Isiqhubi soKuHambisa iyathenjwa ukuba ibe yimpahla exatyiswa kakhulu, edunyiswayo nethandwayo enobungcali obuphawulekayo nezinto ezintsha. Lo myilo uphumeleleyo weIbhaso Lebhronzi le-A' Design Award ubandakanya iindlela ezilungileyo kakhulu kubugcisa, inzululwazi, uyilo kunye nobuchwephesha kwaye ugqwesile ngenxa yokunikela ingqalelo kwiinkcukacha. Sky Route AI Isiqhubi soKuHambisa iyanelisa iimfuno ngokumangalisayo, ichukumisa iinqwenelo, ikhwebela iimvakalelo kwaye itsala umdla.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Ubuchwepheshe Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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.
Ubude Beprojekthi: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Ukuhamba Komsebenzi: 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.
Amagunya Emifanekiso: 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