When a robot is created, it is an empty shell that does not know how to move. Once you code the robot it’s instructions, it will move and function as you want. However, using this robot to assist in everyday scenarios such as carrying groceries. becomes more difficult. One tedious solution is code for every possible scenario including walking. You must tell the robot where to step, how fast to move, how to avoid objects, and much more; this creates more complex and lengthy code. However, it’s impossible to code for every single occurrence. If this is the case, then how do all these other companies get their robots to work?
These robots are coded by using a process known as machine learning. Machine learning is a type of artificial intelligence where a computer system learns from a data set by identifying patterns and improving its ability to make predictions. For example, an AI is provided with a data set that has images of dogs and cats sorted by species. The AI will then track patterns such as shorter noses on cats and long legs on dogs. When this program then sees an image, it can see if the pattern occurs in the image and guess the animal.
Machine learning isn’t only limited to robotics and checking images. You have probably encountered it more than you realized. It has been used in facial recognition to check patterns in facial structure. It has also been used for shopping recommendations by finding patterns in the items we click on and purchase. It is also similarly used in other websites such as YouTube and TikTok. Machine learning can greatly assist in coding for the actions of robots.
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