Combining 3D vision and AI to realize robot motion guidance and Pick & Place
When workers constantly pick up raw materials and place them on the production line, it not only causes boredom due to simple repetitive tasks, but also causes musculoskeletal damage.
However, in order to use a robot, there was a contradiction in that workers had to arrange the materials well so that the robot could pick them up, right?
By equipping robots with 3D vision for eyes and AI algorithms for intelligence, the robots can autonomously identify materials, determine precise positions and angles, and place them accurately, freeing up workers to focus on more creative and high-value tasks.
Additionally, the robots can perform defect inspections while picking materials.
Now, leave the material loading/unloading work that people do not want to do to TWIM 3D Robot Vision. It performs weekend and night shifts without any complaints.
Combining 3D vision and AI to realize robot motion guidance and Pick & Place 3D Robot Vision
Overview
Current industrial robots move only along predetermined paths. When tasks require visual confirmation of the location or condition of materials, even simple tasks necessitate human intervention for tedious and repetitive work.
TWIM's 3D Robot Vision team presents the “3D Vision AI Robot Control” solution, integrating AI recognition technology, 3D sensor technology, 3D data processing technology, and robot operation technology to enable robots to see, judge, and move autonomously.