Design of monocular vision human arm-robotic arm interaction system based on attention feature fusion and sequential graph convolution
Researchers have proposed a new monocular vision system for human-robot interaction that uses attention feature fusion and temporal graph convolution. The system improves the accuracy of intent recognition and grasping tasks for robotic arms.
Why it matters
Advancements in robotic perception and intent recognition are essential for safer and more efficient human-robot collaboration in industrial and service settings.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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