Best Robotics Programming Languages
There are more than 1500 programming languages in the world, which are more than we can learn, here are the top ten robotics programming languages in 2022. Each language has different advantages for robots.
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The following languages are the top 10 languages used in robotics programming:
1.Pascal
The Pascal programming language is the basis of many industrial robot programming languages. As a result, it's still a good starting point if you're going to program industrial robots. Pascal is a core language (literally based on BASIC) and has been designed to encourage good programming practices.
These days, Pascal is too old for everyday use. However, it can be useful if you want to learn about other industrial robot languages without being associated with a robot-specific brand.
2. Scratch
Scratch uses thousands of budding robotics scientists around the world every year. This visual programming language is designed specifically for new programmers, and is aimed at users between the ages of 8 and 16. It is often the language of choice in school technology classes and robotics clubs.
Scratch programming is achieved by dragging around the blocks and connecting them to each other. "Under the hood" is written in a combination of Squeak (accent of Smalltalk), ActionScript, and Javascript.
While you probably won't write any industrial robots in Scratch, it's an incredibly good and popular language for complete beginners and paves the way for many future robotics engineers.
3. Industrial Robot Languages
Almost every robot manufacturer has developed its own robotics programming languages, which has long been a problem in industrial robotics. You can get to know several of them by learning Pascal. However, you still have to learn a new language every time you start using a new robot brand.
ABB has its own RAPID programming language. Kuka has KRL (Kuka Robot language). Comau uses PDL2, Yaskawa INFORM and Kawasaki AS. Next, Fanuc robots use Karel robots, Stäubli use VAL3, and Universal Robots use URScript.
In recent years, more general-purpose programming options such as ROS Industrial, factory manufacturer offline programming, and manual routing have begun to provide more standardized options for programmers. However, if you're technical, you're still likely to have to use the manufacturer's language.
4. LISP and Prolog
Artificial Intelligence (AI) has been gaining great popularity recently. This means that AI programming languages like LISP and Prolog are starting to return to people's programming toolkits. LISP is the second oldest programming language in the world (FORTRAN is older, but only one year away).
Parts of ROS (Android operating system) are written in LISP, although you don't need to know them to use ROS. Prolog is a logical programming language and allows programmers to represent "knowledge" in a form that an AI algorithm can understand. Prolog was used as part of programming in IBM's Watson AI.
It is also possible to program AI using some of the other languages on this list and more that are not included. However, LISP and Prolog remain at the heart of some AI applications and definitely deserve their place on this list. It is also worth remembering that robotics and artificial intelligence are not the same thing.
5. Hardware Description Languages (HDLs)
Hardware Description Languages (HDLs) are essentially a programming method for describing electronics. These languages will be very familiar to electronics engineers who make low-level electronics for robots. HDLs are commonly used to program Field Programmable Gateway Arrays (FPGAs).
These devices allow you to develop electronics without having to actually produce a silicon chip, making them a faster and easier option for some development tasks. If you have not prototyped robotic electronics in your job, you may never use HDLs.
However, it is important to know that they exist because they are very different from other programming languages. For one thing, all operations are performed in parallel, not sequentially as with processor-based languages.
6. MATLAB
MATLAB is very popular with some robotic engineers for data analysis and control systems development. It is widely used in research and data processing. It is also widely used in many university courses.
For robots, there is also a very popular robot toolkit for MATLAB. People who have developed entire robotics systems using MATLAB alone perish. If you want to analyze data, produce advanced graphs, or implement control systems, you probably want to learn MATLAB.
7. C#/.NET
C# is a special programming language offered by Microsoft. It is the primary language of Microsoft Robotics Developer Studio. If you are going to use this system, you may have to use C#.
It is also used as the basis for some virtual reality engines, such as Unity, which are currently growing in popularity. But in contrast, C# is not the easiest option to learn first because it is a complex language. It is usually recommended to learn C/C++ first. However, they are certainly necessary in some areas of robotics.
8. Python
Python is in its way of evolving right now. According to statistics, it has grown rapidly to become one of the best languages. One of the reasons for its popularity in robotics is that Python (and C++) are the two main programming languages found in ROS. The primary focus of the language is ease of use.
Python dispenses with a lot of the usual time-consuming things to program, such as defining and pouring variable types. Like Java, it's an interpreted language. There are also a large number of free libraries for Python which means you don't have to rewrite the code when you need to perform some basic functionality. And since they allow simple binding to C/C++ code, heavy pieces of code can be implemented in these languages to avoid performance loss.
9. C/C++
Arriving at one of the first robotics programming languages, many people agree that C and C++ are required languages in robotics. Why? Because many of the hardware libraries used in robots use one of these languages. These libraries allow interaction with low-level hardware, allow real-time performance and are very mature programming languages.
These days, C++ is likely to use more than C, although C remains one of the most efficient programming languages available. C/C++ is not as user-friendly as Python or MATLAB.
It can take longer to implement the same function using C and will require more lines of code. However, since robots rely heavily on real-time performance, C and C++ are probably the closest thing robotics scientists and engineers should use as a "standard language." This is true even despite the growing popularity of Python.
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