AI and automation are already transforming the world for better. From robotics in public security to healthcare robots and robots in education — this technology is changing society at large.

The number of robots used worldwide has grown three-fold in the last two decades, nearly 2.25 million. The implication is getting intense, but we need not fear, the robots are here to boost economic growth and productivity.

Well, if you’ve considered getting into a career in the robotics industry, you ought to learn the programming languages first.

With AI becoming the next tech revolution, a career in robotics is set to boom. Agriculture, healthcare, medicine, and manufacturing are just a few of the industries that thirst for more automation.

To get started you need to get to the basics first. To help you further, we have compiled a list of the topmost programming languages you will need to become a robotics engineer.

You will find more than 1500 programming languages used by developers worldwide, which is impossible for all to learn. However, since you’ve picked your niche i.e. robotics, we will talk about the most popular programming languages AI engineers need to pick.

👉C and C++

Many people have come to terms stating C and C++ programming languages stand number one when it comes to robotics. The reason is simple, many hardware libraries used in robotics uses one of these languages for their product development.

Best features of the libraries:

• Allows real-time performance
• Matured
• Interacts with low-level hardware

C and C++ are not as simple as Python or MATLAB. It might take a long time while implementing the same functionality using a C programming language with more lines of codes. But with robotics being dependent on real-time performance, C and C++ are the closest to what robotics may have in the standard language.

👉MATLAB

Like Octave, MATLAB is a high-performance programming language used for technical computing. This language helps integrate visualization, computation, and programming in an easy-to-use environment where both problems and solutions are expressed in similar mathematical notation.

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