Robots were the first-known automated type machines people got to know. There was a time when robots were developed for performing specific tasks, yes such machines were earlier developed without any artificial intelligence (AI) to perform only repetitive tasks.
But now the scenarios are different, AI in getting integrated into robots to develop the advanced level of robotics that can perform multiple tasks, and also learn new things with a better perception of the environment.
AI in robotics helps robots perform the crucial tasks with a human-like vision to detect or recognize the various objects.
Nowadays, robots are developed through machine learning training. A huge amount of datasets is used to train the computer vision model, so that robotics can recognize the various objects and carry out the actions accordingly with right results.
And, further, day-by-day, with more quality and precise machine learning processes, robotics performance is getting improved.
So, right here we are discussing the machine learning in robotics and types of datasets used to train the AI model developed for robots.