Wood finishing robot learns by copying humans
Lesta's self learning robot

LestaUSA's self-learning robots do not need any complicated programming. They learn by copying humans.

During a self-learning mode, a human finishing specialist initiates a programming sequence while every motor in the robot is disengaged. The specialist manipulates the robot, moving it around as he or she applies the paint. 

Lesta self learning robot
Robots learn by recording the movements and actions of a human painter.

In this free-float learning mode, encoders in all of the robot's joints record the motions of the specialist as the training paint job happens. As the movements and gun trigger pulls are recorded, the robot's software creates the necessary code. 

All the specialist has to do then is step away and initiate the program. The robot then starts painting - all in a matter of minutes.

LestaUSA says its robots allow wood product manufacturers to produce up to 50 percent more furniture, drawers, panels, and doors without the need to increase staff. 

The company's self-learning robot and cart system recently picked up an AWFS 2021 Visionary Award for machinery over $50,000.

Learn more about LestaUSA here.

 

 

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About the author
Robert Dalheim

Robert Dalheim is an editor at the Woodworking Network. Along with publishing online news articles, he writes feature stories for the FDMC print publication. He can be reached at [email protected].