Methods of Programming Robots
Methods of Programming Robots
Robot programming is no longer low-level coding. And not all robot-makers are good at programming certain tasks. Below are some robot programming methods and their pros.
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Technological advancements have transformed the way of coming up with robot software. Currently, there are various methods to enter binary bits in the robot, and some may not need prior programming knowledge. Robot programming is no longer low-level coding. It has since progressed to intuitive methods in the quest to make it easier for the robot operators, who may not always be robot makers.
It is worth noting that not all robot-makers are good at programming certain tasks. For instance, a painter would be better placed to program a painting task than it would be for a programmer with no painting experience. Below are some of the commonly used robot programming methods and their advantages.
Teach Pendant is a popularly used gadget for programming robots. This handheld gadget, which is similar to a huge calculator, has evolved over the years. In the past, Teach Pendants were big gray boxes that came with magnetic strip storage. Modern-day Teach Pendants to resemble a touchscreen tablet.
In order to program a robot using this gadget, the operator should move from one point to the other and move the pendant around using its buttons. In the process, he should save every position independently. The robot will be able to play the points speedily once the program is understood.
Pros of the Teach Pendant
- They are ideal for easy movements such as painting over a huge flat surface or on a straight line.
- Technicians understand the Teach Pendant because many conventional industrial robots have them.
- They permit accurate positioning, and technicians can program the robot using numerical coordinates in a robot, world, or any other coordinate system.
Simulation or offline programming is popularly used while researching about robots. This helps find out whether control algorithms are working appropriately prior to shifting them to a real robot. This method is also used in industries to enhance efficiency and lower downtime. SMEs, for instance, can benefit from this method. This is because robots have a higher likelihood of being reconfigured numerous times that is the case in bulk production environments. Offline production allows a virtual mockup method of programming the robot and the task.
If the offline programming software is perceptive to use, it can be a quick method of testing a concept prior to shifting it to the robot. Various simulation packages are easy to use, while some enable you to insert a CAD part to trigger the system to instantly produce robot trajectories. This can further enhance programming efficiency.
Pros of Simulation/Offline Programming
- It is instinctive, especially if the robot is movable in a 3D CAD area using drag-and-drop methods.
- It shortens robot programming downtime since the programs are created offline. This means that the robot is only interrupted during the downloading and testing of a new program.
- Technicians can easily test various approaches for comparable problems.
Teaching by Demonstration
Teaching by demonstration involves maneuvering the robot by triggering a joystick or force sensor attached to the robotic arm. The operator keeps every point in the robot computer. This programming method has been included in various collaborative robots because operators can easily begin using the robot in their applications.
Pros of Teaching by Demonstration
- It comes with more intuitiveness compared to simulation programs and conventional Teach Pendants. This is because tasks are programmed in a manner similar to how human operators would execute them, which makes it easy for operators to learn. You do not need to have prior programming knowledge to use this method.
- It is faster than conventional Teach Pendants. Technicians do not need to press multiple buttons, and it enables operators to easily shift the robot to the preferred point.
- It is good for comprehensive tasks that may need numerous lines of code to accomplish the same effect, such as the painting of sophisticated shapes and welding.
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