Tashi Intelligence launches general embodied AI model AWE3.7, demonstrating cross-embodiment and cross-scenario generalization

Tashi Intelligence released AWE3.7, an iterative version of its AWE series general embodied AI model, claiming cross-environment, cross-embodiment, and cross-task generalization, with the same model deployable on dual-arm collaborative robots, wheeled chassis, and humanoid robots. The materials show its performance in industrial scenarios, including parts sorting, tape wrapping, network cable insertion, phone boxing, screw tightening, drive belt grasping, and block sorting, as well as household tasks such as clothes folding, whiteboard wiping, and smoothie making, and claim that model-level changeover time has been compressed to the hour level.