Researchers at Hefei University of Technology report a vision-based grasping pipeline combining improved object detection, ...
Robots, augmented reality headsets, and warehouse automation systems all share a deceptively simple need: knowing exactly ...
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
As a prevailing number of businesses recognize the value of computer vision (CV) in workflow automation, the demand for advanced methods of image analysis is rising. Today’s CV can handle complex ...
Most AI vision systems are trained on well-lit, high-quality images, often from curated sources like motion capture studios or daytime recordings. But when these systems are deplo ...
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