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Commercial Scenarios

Unmanned Refueling

Traditional gas stations require hiring personnel for refueling and training and management of employees, resulting in increased costs.

During peak hours, it is difficult to meet the refueling needs of vehicles solely by refueling personnel, and refueling personnel need to focus on refueling tasks, which cannot free up more energy for non fuel sales, safety inspections, and other aspects, affecting business revenue.

At the same time, manual refueling carries the risk of fire or explosion caused by static electricity, sparks, etc., which poses a safety hazard.

Value and Benefits

Enhancing quality and efficiency

With the Ruoyu · Lanyue robot, achieve 24/7 all-weather operations, particularly improving working conditions for attendants in harsh environments such as extremely cold or high-altitude regions, thereby enhancing service quality. During peak hours, it can collaborate with attendants to serve vehicles at different fuel islands, improving refueling efficiency.

Free up energy, focus on high-value tasks

Equipped with the capability to independently and efficiently complete refueling tasks, freeing frontline attendants from repetitive refueling duties to focus on safety inspections and non-fuel sales.

Reduce safety risks

Equipped with explosion-proof capabilities, enabling safe operations in gas station environments. Standardized procedures ensure task execution compliance, reducing risks during the operation process.

Enhance market competitiveness

Utilizing robotic refueling to establish an innovative image, enhance brand impact, and attract more vehicles to the station.

Scenario Display

Delivery and Cleaning

In building delivery scenarios, traditional elevator control modification methods for service robots have high modification costs, long modification times, and may even be prohibited due to safety and compliance considerations.

Delivery and commercial cleaning have not achieved multi-functionality with a single machine, requiring separate deployment of robots for work, resulting in high investment costs.

Value and Benefits

No Elevator Control Modification Required

Using the Ruoyu · Tiangong Embodied Intelligence Development Suite, robots are trained to use robotic arms to press elevator buttons like humans, eliminating the need for any modification to the elevator control system and shortening the delivery cycle.

Safe and Reliable

By perceiving multimodal data in the environment, the robot arm can flexibly and autonomously avoid obstacles, both completing the action of pressing the elevator button and ensuring personal safety. 

From Flat Cleaning to Three-Dimensional Cleaning

The Ruoyu · Tiangong Embodied Intelligence Development Suite can train robots to expand traditional planar cleaning skills to three-dimensional cleaning, achieving comprehensive three-dimensional commercial cleaning without dead corners.

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Scientific Research and Teaching

Embodied intelligence spans multiple disciplines such as computer science, AI, automation, and mechanics. Scientific research and teaching commonly face pain points such as difficulty in cross-disciplinary collaboration and resource integration, high costs of hardware equipment and experimental platforms, lack of standardized data and evaluation methods, insufficient training platforms and computing servers, and slow research progress due to high technical complexity.

Value and Benefits

Lower Research Barriers

The ready-to-use Ruoyu · Tiangong Embodied Intelligence Development Suite reduces the technical threshold, allowing researchers to start working without in-depth understanding of complex configurations. It accelerates the research process, promotes cross-disciplinary participation, and inspires more innovative ideas. 

Increase Research Efficiency

Flexible wearable and teleoperation data acquisition hardware, combined with the one-stop PaaS-based Ruoyu · Tiangong Development Platform, simplifies the entire process from data acquisition to model deployment. Automated and standardized processes reduce time spent on technical details, improving experimental efficiency and comparability. 

Cost Savings

Providing unified solutions and shared cloud GPU computing resources eliminates the need for complex self-building, significantly reducing research costs and improving resource utilization, allowing limited funding to be focused on core research activities.

Expanding Research Scale

The accompanying powerful data platform simplifies and streamlines model training, easily handling various complex application scenarios.

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