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.
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.
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.
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.
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.
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