
Chinese team wins top prize in global robotics grasping contest
FAM employs “heatmap alignment” to efficiently capture 3D spatial features from 2D inputs, greatly reducing sample dependence.

FAM employs “heatmap alignment” to efficiently capture 3D spatial features from 2D inputs, greatly reducing sample dependence.

Investor interest in world-model-based embodied AI has accelerated in recent months as startups pursue alternatives to data-intensive robotics training approaches.