Collaborative Robots for Automotive Industry
The automotive industry has always been at the forefront of automation. Now, JAKA cobots are driving the next wave of smart production lines.
With automotive production becoming increasingly complex and varied, with new tech integrating with old mechanics, flexibility on production lines is vital.
When it comes to establishing and optimizing production lines, collaborative robots are arguably the best way forward. JAKA cobots are designed with flexibility, and safety, in mind. They’re capable of working alongside humans as companions.
With torque-feedback collision detection, integrated force sensors, vision systems and more, they’re robots that are more ‘human’ than ever before.
- They can be used across a whole gamut of applications in the automotive industry, from assembly to welding, machine tending to inspection, to testing. They can perform dispensing applications like painting, coating, gluing and bonding, and finishing applications like polishing and sanding.
- Compact, safe but powerful, our cobots range in payload from 3 to 18kg, and each have a repeatability between ±0.02 and ±0.03mm.
- Plug-and-play functionality means they can be installed and ready to go in just minutes.
Recommended Cobots For Automotive Industry
Why Use JAKA Cobots in the Automotive Industry
Cobots do not take up much space on a production line, and can be installed anywhere. They’re easily programmed and reprogrammed, capable of moving between lines and tasks on the fly.
Handling of Tasks that Require High Precision
One small mistake in automotive production can have devastating effects. With incredibly a repeatability of ±0.03mm, cobots minimize this risk in all of their applications.
Keep Employees Safe
With torque-feedback collision detection, there is no need for safety fences around JAKA cobots. Employees may work with them side-by-side, with no fear of being injured.
See The Most Popular Applications for Auto and Auto Parts Production
Other Applications Our Collaborative Robots Can Do
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