Robot Model SOTA Now Ships With a Nationality Qualifier
Two open weight robot models landed the same week, both citing benchmarks that no longer separate them. The differentiator has moved to adaptation and control.
Original articles that connect several developments into one argument, with the technical detail behind them. One new piece most weeks.
Two open weight robot models landed the same week, both citing benchmarks that no longer separate them. The differentiator has moved to adaptation and control.
A delivery robot read an advert as a green light and nine passengers fell. Its stop function worked as designed; the problem is the inputs are not verified.
Dream-1 and Eka's VFA model both claim general manipulation, but their action spaces differ, and that choice decides whether a robot can act on contact.
Google, Physical Intelligence and Humxn all launched on 13 October. What they actually sell is the machinery that turns experience into training data.
Four releases in one week put the learned model in a proposing role and handed the state, the parameters and the motors to a deterministic layer.
A vendor launch and four arXiv papers attacked the robot data bottleneck in one week, and disagree about where a policy's generality comes from.
HomeBody deletes the learned policy, FLUX 3 Action shrinks it to a checkpoint, and RoboHarm shows the frontier model that takes over refuses almost nothing.
Figure's Helix 2.5 shows human video scales robot policy, while four papers published the same week show what vision cannot see. Robot data is splitting in two.
How vision-language-action models and robot foundation models replaced hand-built perception and control pipelines, what they do, and where they still fail.