Abstract: Robotic grasping is fundamental to many practical applications yet remains a challenging computer-vision problem. However, grasp pose detection in cluttered, unstructured settings is ...
Multi-State Robot Posture Detection Method Based on Joint Optimization of Target-Key Point Detection
The final, formatted version of the article will be published soon. Abstract: Industrial robots are core equipment in intelligent manufacturing, and their posture detection accuracy directly ...
Abstract: Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges.
Ultralytics YOLO11 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and ...
The AI Metacognition Toolkit provides research-grade tools for understanding when and how AI models exhibit metacognitive behaviors - particularly the ability to recognize evaluation contexts and ...
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