Core algorithms such as deep learning, machine learning, and reinforcement learning are used, such as convolutional neural networks (CNN) for image recognition, and recurrent neural networks (RNN) and their variants (such as LSTM, GRU) for natural language processing and time series prediction.

The robot is equipped with visual sensing equipment such as high-definition cameras and infrared sensors, and how to use computer vision technology (such as target detection, image segmentation, and Face Recognition) to achieve environment perception and object recognition.

Use big data analysis technology to mine and analyze the data collected by robots to discover potential business value, such as user behavior analysis, equipment failure prediction, etc.

In the process of robot design and application, how to strictly abide by privacy protection regulations, ensure the legal collection, use and protection of user data, and avoid data leakage and abuse.