What Is Programming For Industrial Robots?

However, it is still an advanced production tool in today's era. As a tool, it must be easy to use in order to be valuable. Let's talk about the "use" of industrial robots. Speaking of usage, it actually means programming industrial robots. In plain language, it means giving instructions that the robot can understand and converting human language into robot language. Is this operation difficult?
1, Basic concepts
Industrial robot programming refers to defining the motion path and operation logic of robots to perform tasks through specific languages or methods, enabling robots to complete specified tasks without human intervention.
Programming languages are the bridge between humans and robots. Common industrial robot programming languages include AL, VAL, IML, PAPID, URBI, Python, ROBOTC, etc. These languages are classified into action level, object level, and task level based on the level of homework description.
Programming methods include demonstration programming, offline programming, computer language programming, etc.
The basic functions of programming languages include computation, control, environment description, etc., which can realize the control of robot motion, operation, and state.
Robot language systems typically include three basic operational states: monitoring, editing, and execution.
2, Main methods
Teaching Programming is a method of manually guiding a robot to complete a task, recording its trajectory and position, and then repeating it by the robot. Suitable for continuous path control, such as painting, assembly, etc.
However, this programming method is more suitable for the beginner stage and it also has many difficulties.
The principle of instructional programming is to manually guide robots or teaching devices to record their motion trajectories. The operation is simple and does not require coding knowledge, but it requires point by point teaching, which is time-consuming.
2. Offline programming is the development and debugging of robot programs in a virtual environment using programming software on a computer, without taking up the running time of the robot. The advantage is to reduce downtime and improve production efficiency.
It establishes a geometric model of the robot and its working environment in the computer through software, describes the robot's job tasks using robot programming language, performs 3D simulation and program debugging, and finally generates executable code for the robot controller.
The main application areas of offline programming for industrial robots include:
Polishing: Offline programming technology is widely used in the field of polishing, generating robot motion trajectories through virtual environments to improve machining accuracy and efficiency.
Spray coating: In the spray coating industry, offline programming can achieve planning and simulation of complex trajectories, reducing errors and downtime in manual teaching.
Welding: Offline programming is used in the welding field to plan weld paths and welding parameters, improving welding quality and production efficiency.
Deburring: During the deburring process, offline programming can generate precise motion trajectories to improve the deburring effect.
Assembly: Offline programming is used in the field of assembly to plan assembly paths and sequences, improving assembly efficiency and accuracy.
Handling: In the field of handling, offline programming can achieve planning and simulation of complex handling paths, improving handling efficiency.
Wait, wait, wait.
3. Computer Language Programming is the process of writing control programs in high-level languages such as Python, C++, and Java to achieve precise control of robot movements.
However, it is worth mentioning that currently all branded robots do not have a unified programming language, which also means that languages are not interchangeable, just like people from different countries cannot have a unified language for dialogue. Therefore, learning a robot language may require starting a new robot language.
Of course, with the same underlying logic, learning will be very fast.
The programming methods for industrial robots are applicable to different application scenarios, and choosing the appropriate programming approach can improve the efficiency and flexibility of the robot system.