Tag: Robot learning

Meta Acquires Assured Robot Intelligence to Build the Android of Humanoid Robotics

Meta Platforms has acquired ARI, a startup building AI models for humanoid robots. The team joins Meta Superintelligence Labs as the company bids to become the foundational hardware and software platform for the entire robotics industry.

World Action Models: What They Are and How They Work

Vision-Language-Action (VLA) models have become the dominant approach to building AI-driven robot control systems over the past several years. Their emerging successor — the World Action Model (WAM) — represents a distinct architectural category that replaces direct image-to-action mapping with video generation as an intermediate planning mechanism. DreamZero, developed by a team at NVIDIA and published in February 2026 as a research paper on arXiv, is the first publicly described system of this class to operate in real time on a real robot. Understanding how it works matters because it points toward a plausible direction for the next generation of robotic foundation models.

ShengShu unveils Motubrain: one AI brain for every robot platform

ShengShu Technology has unveiled Motubrain, a World Action Model that unifies video generation, world modeling, and action control in a single Mixture-of-Transformers architecture. Backed by a $293M Series B from Alibaba Cloud, the model tops RoboTwin 2.0 with 96% success across 50 randomized tasks.

Maniformer oficjalnie startuje: chińska platforma danych dla robotów wchodzi na rynek z własną infrastrukturą

Generalist AI przedstawia GEN-1: Czy to koniec ery programowanych robotów?