With the acceleration of global urbanization and the deepening advancement of smart city construction, unmanned sweeping robots are becoming an important force in enhancing the efficiency of urban public services and driving the intelligent transformation of the sanitation industry. Currently, these intelligent devices have not only achieved a functional leap from single-purpose sweeping to "sweeping + perception + decision-making" technologically, but have also extended their application scenarios beyond enclosed areas, gradually expanding into complex environments such as open urban roads and transportation hubs.

Meanwhile, the concept of green and low-carbon practices is rapidly permeating the field of urban management. With their high efficiency, environmental friendliness, and intelligent features, unmanned sweeping robots have not only gained widespread adoption across various urban scenarios domestically but are also accelerating their "going global" efforts, entering international markets.

Recently, an unmanned sweeping robot jointly developed by **Vortexinfo and Cusa** has been deployed in Singapore. Faced with urban roads featuring different rules and varying conditions, the robot has maintained consistent operational standards and technical performance, providing a solid foundation for its further expansion into more international scenarios.

The unmanned sweeping robot employs a vision AI-led multimodal environmental perception solution. Through advanced perception algorithm processing and data fusion, it can continuously and accurately detect road conditions and obstacle distribution. During the sweeping process, the robot achieves high-precision edge-following operations, ensuring both the completeness of cleaning coverage and effectively reducing consumable wear.

When navigating open and complex urban road environments, the robot demonstrates strong path decision-making capabilities and dynamic response mechanisms. For static obstacles (e.g., traffic cones), the robot reconstructs its path and navigates around them smoothly without disrupting operational rhythm. In cases of sudden and unavoidable obstacles (e.g., pedestrians), the robot immediately triggers a stop-and-obstacle avoidance mechanism, ensuring operational safety and controllability.

When encountering different terrains, the robot's self-adjusting sweeping disc automatically adapts its width, height, and rotation speed during operation, enabling it to handle various ground conditions and achieve thorough, dead-angle-free cleaning.

Beyond sweeping, the unmanned sweeping robot also possesses intelligent inspection capabilities.

While performing automated tasks, it continuously collects images and operational data along its route. It identifies infrastructure issues such as road damage, abnormal manhole covers, vegetation encroachment, and overflowing trash bins. These findings are synchronized and transmitted back to the intelligent cloud control platform, where the system dispatches tasks for handling and arranges follow-up re-inspections, forming a closed-loop management process. This capability elevates the robot from merely "executing tasks" to "identifying problems," enhancing road cleanliness while providing more detailed data support for urban management.

Furthermore, the unmanned sweeping robot produces no exhaust emissions during operation, generates low noise, and causes minimal public disturbance, aligning with the green and low-carbon principles of urban governance. It is equipped with a large 420-liter water tank and a 1,000-liter trash bin, meeting the demands of all-weather operations.

To date, the unmanned sweeping robot has been deployed in over 30 regions across 11 provinces in China, covering various open scenarios such as urban roads, parks/scenic areas, campuses/industrial parks, ports, plazas, as well as airports and high-speed rail stations.

Moving forward, we will continue to focus on the deep integration of intelligent robots in urban public service scenarios. With more stable product capabilities, a more open system ecosystem, and more sustainable technological pathways, we aim to promote the transformation of global urban operations toward greater intelligence, efficiency, and environmental sustainability.