Traditional gas stations require hi←©ring personnel for ref≈£"ueling and training and m¶≤₹anagement of employees,•∑↑ resulting in increased §₽≥costs.
During peak hours, it is difficult☆σ to meet the refueling needs of v•©±ehicles solely by ref→≥§ueling personnel, and refueling person✔∏nel need to focus on ♥↓≠₹refueling tasks, which cannot ¶✘∑free up more energy for non fuel sales,α"÷ safety inspections, and ot∏≥her aspects, affecting busi÷'©ness revenue.
At the same time, manual refueling carr±β©ies the risk of fire or explosion ¥φ↓caused by static elec∞<₽tricity, sparks, etc., wh÷≠♣ich poses a safety hazard.
With the Ruoyu · Lanyue robot, achi¥ ₩eve 24/7 all-weather ope∞ Ω∞rations, particularl•÷ >y improving working conditiσ$ons for attendants in hars ¥h environments such as ex∑↑tremely cold or high-altitude regio±∏↔ns, thereby enhancing service quality.₹£♣ During peak hours, it can colla≤→↕δborate with attendan®" ×ts to serve vehicles at differe ×nt fuel islands, improving re™Ω®fueling efficiency.
Equipped with the capabi✔↔₽←lity to independentlyα¥÷€ and efficiently complete refue≈₽ling tasks, freeing frontli®£ ≠ne attendants from re≤φpetitive refueling duties to fo← ₩cus on safety inspections and no→✘¶n-fuel sales.
Equipped with explosion¶↓δ™-proof capabilities, enabling sa≤♦φfe operations in gas station e€&nvironments. Standardδπ←§ized procedures ensure task exe↑ cution compliance, reducing rφγ♥•isks during the operation ∑λprocess.
Utilizing robotic refuelin←'•g to establish an inn∞λ™ovative image, enhance bran↑→↔≥d impact, and attract more ve•σhicles to the station.
In building delivery scenario÷≥→s, traditional elevator control modif<Ωication methods for service robots have≠ high modification c$✘osts, long modification •"times, and may even be prohibited due t♠•βo safety and compliance considera÷εtions.
Delivery and commercial δ®↓αcleaning have not achieved mul↕∞ti-functionality withγ≠¥ a single machine, requ£♠iring separate deployment of rob£δ≤ots for work, resulti£✘ ng in high investment ' ♠costs.
By perceiving multimodal dβ¥ata in the environment, the robot arm '<can flexibly and autonom''★ously avoid obstacles, both completing ↓Ωthe action of pressing δ≤↔the elevator button and '©→ensuring personal safety.
The Ruoyu · Tiangong Embδ•♦✔odied Intelligence Development Sui'≈£te can train robots to expand tradition•∑al planar cleaning skills tΩ&o three-dimensional cleaning, achie≤λσving comprehensive three-di$≥ mensional commercial cleaning without d∑↔ead corners.
Embodied intelligence spans multiple↓★> disciplines such as computer≤↑ science, AI, automation, and mechan±€ics. Scientific research¶≤§ and teaching common₩αly face pain points such as difficul£♦✘ty in cross-disciplinary collabor¶φ¥ation and resource integr¶¶×≤ation, high costs of hardware equipme↔€±nt and experimental platfo✔"rms, lack of standardπα₩★ized data and evaluation methods, ins★σ₽ufficient training platforms and ✔©computing servers, and slow rese''∑arch progress due to hig'↑h technical complexity.↑'
The ready-to-use Ruoyu · ☆σ♣Tiangong Embodied Intelligence Dev××₹elopment Suite reduces t¥<he technical threshold, allowing res¶π earchers to start working without i¶λ≈πn-depth understanding of complex " δ configurations. It accelera$§•tes the research process, prom★£•otes cross-disciplinary participation,α€♦ and inspires more innovative ideλπas.
Flexible wearable and teleoperation d∏©αata acquisition hardware, co&mbined with the one-stop Paa↕§S-based Ruoyu · Tiangong Development >✔↓Platform, simplifies the entire proc✘Ω→♦ess from data acquisition to m¶πodel deployment. Aut₽ε₽omated and standardized proceγ"sses reduce time spent on tec₩↑hnical details, improving eα♠∑×xperimental efficiency and ¶™♥comparability.
Providing unified so∏∞→lutions and shared cloud¥™ GPU computing resources eliminates γ₹÷$the need for complex self-building, β€significantly reducing rφ←esearch costs and improving re±±≈¶source utilization, allowing ÷≈limited funding to be fΩφ ocused on core research acti↑✘vities.
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