CENOBOTS L3

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Compact, Productive, Safe, Hassle-free

100 TOPS

AI Computing Power

96-beam

3D LiDAR

400mm

Cleaning Width

CENOBOTS L4

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Compact, Intelligent, Safe, Sustainable

3cm/1.2in

Distance from the wall

450mm/17.7in

Scrubbing width

4.3In/1100mm

Turning-around width

CENOBOTS L50

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Productive, Intelligent, Safe, Hassle-free, Sustainable

120Ah

Battery Capacity

3DLidar

32 Lines, 150m Detection Range

NVIDIA AI chip

1024-core NVIDIA Volta™ GPU

CENOBOTS SP50

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Productive, Intelligent, Safe, Hassle-free, Sustainable

25 kPa

Superior Suction Power

13 Hours

Max. Running Time

3DLidar

32 Lines, 150m Detection Range

Solution

SMART RETAIL & SHOPPING MALL

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Challenges of the Retail Industry

Insufficient workforce and elevated employee turnover in the cleaning sector.
The need to lower expenses related to operations.
Elevated cleanliness requirements and more rigorous safety regulations.
A strong emphasis on maintaining high operational standards and enhancing the customer experience.
The pressure to increase the volume of visitors

Solution

SMART TRANSPORTATION

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Compact, Productive, Safe, Hassle-free

Rigorous cleanliness requirements and safety protocols.
Staff turnover and labor shortages impact cleaning operations.
Requirements for performance evaluation and monitoring.
Passenger satisfaction.
Sustainability standard

Solution

SMART HEALTHCARE

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Challenges of the Healthcare

Rigorous cleanliness requirements and safety protocols.
Increasing demand for cleaning personnel.
Requirements for performance evaluation and monitoring.
Patient and family satisfaction.
Sustainability standards.

Solution

SMART EDUCATION

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Challenges of educational facilities

Rigorous cleanliness requirements and safety protocols.
Insufficient cleaning during busy periods or holidays.
Requirements for performance evaluation and monitoring.
offer a great learning environment.
Sustainability standards.

Solution

SMART HOSPITALITY

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Challenges of the hospitality facilities

Rigorous cleanliness requirements and safety protocols.
Limited availability of cleaning staff during peak periods.
Cost reduction pressures in operations.
Requirements for performance evaluation and monitoring.
Strong emphasis on maintaining high operational standards and enhancing the guest experience.
Sustainability standards.

CORE TECHNOLOGY

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Spot Cleaning

Cenobots is at the forefront of integrating “big model” and transformer neural networks, similar to the ChatGPT mechanism, into the cleaning robot sector. Our robots boast advanced cognitive capabilities, enabling them to identify waste or debris on the floor and clean only where necessary. This innovative technology results in an efficiency boost of up to tenfold and a substantial reduction in power usage.

CORE TECHNOLOGY

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Automatic Map Update

Robots face significant challenges when it comes to adapting to changing environments, such as different sections in shopping centers. Typically, robots tend to lose their ability to navigate effectively when the environment changes, necessitating human assistance to manually update their maps. This can be quite inconvenient for customers. However, our robots overcome this hurdle by incorporating state-of-the-art 3-D lidar technology and developing advanced perception algorithms. As a result, our robots can accurately detect changes in the environment and update their maps automatically, without any need for human intervention.

CORE TECHNOLOGY

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Stable Glass Detection

When dealing with commercial cleaning robots, certain factors like glass doors and walls present a significant challenge. This is because conventional cameras and 2D lidar technology face difficulties in accurately detecting and maneuvering around them. Additionally, lidar is incapable of detecting glass, while cameras can be easily deceived by it. CenoBots has pioneered cutting-edge multi-sensor fusion technologies that can reliably identify glass and effortlessly navigate around it.

CORE TECHNOLOGY

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Protruding Object Detection

Robots face a major obstacle when it comes to dealing with objects that stick out. One of the reasons for this is that conventional cameras and 2D lidar technology find it challenging to accurately detect and navigate around such objects. For instance, 2D lidar only has a single beam in the vertical dimension, which often leads to instances where protruding objects are missed. In contrast to the industry , we have embraced the advanced 3D Lidar technology and have developed groundbreaking point cloud neural networks to intelligently identify and recognize these objects.

CORE TECHNOLOGY

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Edge Cleaning

CenoBots, 0cm distance to the edge! Traditional cleaning robots cannot get close enough to the edge, thus leaving a lot of space uncleaned. Engineers at CenoBots developed an innovative algorithm which can largely suppress noise of sensors, hence can significantly improve localization precision.