This robot vision system quietly solves a problem that has long limited automation, hinting at smarter machines ahead.
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New robot vision system grasps glass, shiny objects without depth sensors
Researchers at Tokyo University of Science have developed a new vision-based system that allows ...
Grasping and transporting objects is one of the most critical tasks for robots in a variety of fields. This task requires ...
Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret ...
“Accurate and rapid identification and depiction of objects from digital images (e.g., aerial images, smartphone images, etc.) and video data is increasingly important for a variety of applications.
The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
NA explained that traditional manufacturing setups are limited by their tailored to specific product lines. CynLr hopes to address this global challenge through product-agnostic robotic assembly lines ...
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