The use of sensors in AI is increasing. Sensors are used to collect data and help AI make sense of the world around it. They can be used for various purposes, such as monitoring the environment, gathering information about people or things, and navigating vehicles. The sensors are not only used for collecting data but also for controlling the actions of a machine or system. They can also be used to trigger an event when a particular condition is met. Today, most robots need three main types of senses, Sight, Hearing, and Touch. For AI to be able to “see,” “listen,” or “feel physical objects,” it has to use some sensor. This paper aims to explore the history of the sensors and technologies used for computers or AI to sense its environment. The technologies used for seeing include cameras and lidar sensors. A combination of speech recognition and microphones allows AI to “listen,” and tactile sensors are used to “feel” physical objects. AI can also be used to aid humans. For example, AI can be used to understand the sounds in the environment and use it to develop active noise cancellation, which can prevent hearing loss.