AI significantly enhances robots' ability to understand depth by processing various sensor inputs. For instance, deep learning algorithms analyze stereo camera images to calculate disparity and infer distances, much like human vision. Similarly, AI interprets Lidar point clouds to map surroundings and precisely locate objects in 3D space, filtering noise and filling gaps. More advanced AI models, particularly Convolutional Neural Networks (CNNs), enable monocular depth estimation, predicting 3D structure from a single 2D image after extensive training on diverse datasets. Furthermore, AI facilitates sensor fusion, intelligently combining data from multiple sources like cameras and Lidar to create a more robust and accurate environmental model. This allows robots to achieve real-time spatial awareness, crucial for navigation, object manipulation, and safe interaction within dynamic environments. More details: https://www.alex-games.com/LinkClick.aspx?link=https://infoguide.com.ua