Hello Farkad Adnan

With the help of artificial intelligence algorithms, robots can handle sudden changes in light by dynamically adjusting camera settings (exposure, ISO) to stabilize the input, performing real-time image processing (via, say, CNNs or histogram equalization) to enhance the visibility, and merging data from other sensors (LiDar, infrared) to offset any degradation in sight. The machine learning models, trained on different lighting scenarios, increase robustness in object recognition or environment navigation in the presence of glare or shadows or sudden changes. This acheives a reliable operation for any application like autonomous vehicles or drones, in which quick adaptation to such lighting shifts is vital for safety and accuracy.