An edge-filtered video streaming agent that evolves skills from memory and runs on smart glasses, reducing API costs by 98%, accompanied by the VisualClawArena benchmark dataset.

A 4B unified architecture for world understanding, generation, and action with hybrid linear attention enabling real-time edge inference across embodiments, outperforming 14B models on embodied benchmarks.

A framework that trains a 51-DoF dexterous hand to open drawers and doors using only physical contact without requiring tactile sensors.

A 4B open-source VLA-style model trained on fewer than 2K simulation trajectories that matches closed frontier systems on real-world manipulation tasks with zero-shot generalization to novel objects and long-horizon behaviors, including failure-recovery demonstrations.

A new geometric action model for robot manipulation policies that focuses on structured action representations to improve policy learning and generalization.

ENPIRE demonstrates fully autonomous physical AutoResearch where Codex agents control a fleet of 8 robots overnight, self-improving through real hardware rollouts on tasks like zip-tie tying and GPU installation, while discovering physical scaling laws with built-in safety harnesses and frozen reward classifiers derived from demonstrations.

An open VLA-style robotics foundation model featuring open weights, open dataset, open action tokenizer, and a depth-reasoning variant; designed to enable community experiments on real robots for manipulation and generalist policies.

Released a massive bimanual robot manipulation dataset with 2,163 hours and 250K+ episodes across 70+ tasks, along with a compatible VLA model for multi-view egocentric teleop. The dataset and model are fully compatible with LeRobot v3.0.

New framework for guided flow-matching policies that improves long-horizon robotic control and sample efficiency.

Introduces flow reversal steering to guide diffusion-based vision-language-action models with high-level VLM reasoning and enables RL directly in the diffusion noise space.