Vision-based obstacle detection for autonomous mobile robots

This invention describes a way for autonomous robots to detect obstacles using a camera. The robot takes pictures of its environment, then compresses and cleans up these images. A trained artificial intelligence model, specifically a neural network, analyzes the processed images to identify which parts of the floor are clear and which are blocked by obstacles. The robot then uses this information to plan a safe route and navigate through the space.