AI large models + multi-scale object-oriented segmentation solve the issue of object segmentation; multiple AI models + object-oriented extraction methods address the problem of object extraction; multi-scale object-oriented editing + vector smoothing export resolves issues with object correction and mapping.

The research team at the University of Texas at Dallas has developed a new AI system that enhances robot object recognition capabilities. Robots take multiple pictures of objects by pushing them, capturing more visual details to accurately identify different items. This technology is significantly important for enabling robots to perform complex tasks such as household chores.