ActiveAlign uses motion and touch to close Real2Sim2Real gaps
On a Unitree G1, the method supports button presses and slider moves at millimeter scale.
On a Unitree G1, the method supports button presses and slider moves at millimeter scale.
The three-stage pipeline reports state-of-the-art simulation results and higher Unitree G1 pick-and-drop success.
Researchers generate deployable Unitree G1 humanoid controllers by diffusing learned policy weights.
Zero-shot transfer to Unitree G1 reached 90.0% on SIMPLE and 62.5% on real loco-manipulation tasks.
TechCrunch explores why people treat robots and chatbots as human and the risks of emotional reliance on AI.
NVIDIA showed developers using frontier AI agents with Omniverse libraries to build robotics, driving, and digital-twin simulations.
Contextual safety filtering grounds language rules in trajectories and cuts motion danger events by up to 90%.
FAITH filters robot actions with a learned safety value, preserving high task return without feasible-start safety violations.
Long-WAM raises robot task success by scaling causal world-action context with autoregressive video pretraining.
A flow-matching student distilled by DAgger runs on proprioception alone and was tested on the Unitree-G1.
InterEvolve evolves reward programs at test time so humanoid controllers solve new loco-manipulation tasks without retraining.
GGSD uses game self-play to learn a small set of human-playable motor skills for embodied agents.
Stanford and Caltech's HomeBody uses GPT-6 Astra to let a Unitree G1 tidy an unfamiliar kitchen.
Rolling-WAM speeds robotic replanning 4.5x by spreading joint denoising across successive cycles.
Rolling-WAM speeds robot replanning 4.5x by staggering joint video-action denoising across cycles.
Hands-on review finds the $4,017 Unitree Go2 Pro robot dog affordable but impractical, as Unitree reaches a $34 billion valuation after its IPO.
Researchers introduce TANGO, a whole-body vision-language-action model enabling zero-shot language-guided humanoid navigation on the Unitree G1 robot.
Researcher disclosed two root RCE chains in Unitree G1 EDU robots (CVE-2026-76639, CVE-2026-76640), one reachable via unpaired Bluetooth, with no confirmed fixed firmware.
Researcher chained two Unitree G1 flaws (CVE-2026-76639, CVE-2026-76640) to gain unauthenticated root access, with compromised robots able to infect others via Bluetooth.
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