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Let’s start by understanding what Artificial Intelligence means, and what Robotics means. To understand clearly, you can assume Artificial Intelligence as the brain of a human, and Robotics can be assumed as the physical human body. So, the physical body parts work according to the instructions given to them by the brain. Similarly, AI integrated with Robots lets robots perform tasks intelligently according to the situation.
AI includes machine learning, deep learning, and neural networks which help the machines to make decisions, recommend suggestions, and perform tasks cognitively like human beings. Robots are made for some particular tasks that require human interaction which gives them instructions on what task needs to be performed, whereas if AI is implemented in Robots then there will be no requirement for human intervention. Previously, we used to have machines that used to perform some tasks based on the instructions given by a human, but now due to the advancements in technology, there is no need for a human to be involved.
The following are some of the AI techniques along with the applications used in robot control,
Artificial intelligence (AI) significantly enhances robotics by enabling robots to perceive, reason, and act autonomously in dynamic environments. Here’s how AI contributes to robotics and some key techniques used in robot control:
In summary, AI transforms robotics by providing capabilities for perception, decision-making, and adaptive behavior, making robots more versatile and effective in a wide range of applications from manufacturing and logistics to healthcare and exploration.