embodied-ai

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.

NVIDIA has released SONIC, a generalist humanoid controller trained on 100 million frames of motion data, aiming to replace manual reward engineering with a scalable "System 1" foundation for whole-body movement.

A new full-stack framework from HKUST and Shanghai AI Lab allows humanoid robots to acquire complex athletic skills like basketball and reactive fighting directly from human videos—no manual reward engineering required.

Humanoid has unveiled KinetIQ, a multi-layered AI architecture designed to orchestrate entire robot fleets across retail, industrial, and home environments using a cross-timescale approach.