embodied-ai

On Day 5 of AI Week, AGIBOT shifts focus from model intelligence to operational infrastructure with a zero-code platform designed to eliminate the engineering bottleneck in humanoid rollouts.

As "world models" become the dominant paradigm in robotics, the industry is grappling with a term that means everything and nothing. We map out the competing visions from LeCun, NVIDIA, 1X, and Tesla.

Researchers from Tsinghua and Peking University have introduced LATENT, a system that enables the Unitree G1 humanoid to perform high-speed tennis rallies by learning from "imperfect" human motion data and applying corrective residual actions.

A joint team from BIGAI and Unitree has unveiled OmniXtreme, a unified control policy that enables humanoid robots to perform diverse extreme motions—from backflips to breakdancing—without the need for task-specific overfitting.

Physical Intelligence (Pi) has unveiled Multi-Scale Embodied Memory (MEM), a hybrid architecture that combines short-term video encoding with long-term textual summarization to help robots master long-horizon tasks like kitchen cleaning and in-context error recovery.