3-5 mm Deviations? Can Welding Robots Handle it? | ABAGY ROBOTIC WELDING

It's a common misconception that robots require flawless pre-assembly of parts. That would indeed be great! But the reality is often different.
Parts are typically pre-assembled by humans, and it's not uncommon for them to deviate from the ideal standards. Even deviations of 3-5 mm, which may go unnoticed by humans, can pose significant challenges for robots. So, the question is: Can robots handle such deviations and still perform effectively?
00:00 Welcome back to our KZbin channel
00:40 Repeatability and Absolute Accuracy of the Robot
02:19 Low Absolute Accuracy of the Robot
02:55 External Axes
03:35 Robot Tool
04:11 Part Positioning
05: 18 Part Geometry
05:48 Online Programming Using Teach Pendant
06:50 Offline Programming
07:21 Adaptive Robots/Autonomous Robots
07:56 Let's Examine Some Specific Examples
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Here are some of our topics:
- How is robotic welding different from manual welding?
- Main Types of Robotic Welding Processes, particularly Arc Welding
- Types of Welding Robots, including cobots
- Welding Robots Manufacturers (Fanuc, Kuka, Yaskawa, Kawasaki, Panasonic)
- Welding Machines Manufacturers (Lincoln, Miller, Fronius, Esab)
- How are robots used in different industries?
- Weld Quality
- Robot Programming
- AI and machine vision for robots
ABAGY is AI & machine-vision-based software for industrial robots abagy.com/
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#welding #abagy #industrialrobots #robotprogramming #automation #weldingmachine #manufacturing

[@samuelezran7241]

Very interesting. Really appreciate, the brevity and clarity with which you deliver a lot of relevant information

[@fernandoscotti3774]

Hi, interesting content and production! I have a question. Is there any application where it was possible for example on a multipass butt joint (thick plates) to adapt for the deformation in the subsequent passes?

[@ABAGY]

Hi, thank you for your interest in our content and technologies! Yes, there are various applications where it’s possible to adapt to deformation in subsequent passes, during multipass welding. Depending on the machine vision devices used, different levels of adaptability can be applied. For example, it’s possible to use a re-touch-sensing procedure or employ wire sensing for each new pass. Alternatively, laser scanning can be used to reconstruct the geometry in real time during the welding process.

[@andrewallen9993]

Yes, you would program 3 passes with the teach pendant as the deformation should be the same after each pass

[@ScottySmac]

Touch sense

[@Lirons]

Well made. how can we handle "Dark spots" in the machine vision method?

[@ABAGY]

If we understand right what you meant by “Dark spots”, they can occur when the objects block the view of the scanner. We use a two-step approach. First, we detect the position of the whole part during primary scanning, where these “dark spots” are not of utmost importance. Then, for each specific weld, we utilize touch-sensing or laser scanning to adapt to the real geometry of the part.