Boston Dynamics, DeepMind and humanoid robot
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Nvidia released a new stack of robot foundation models, simulation tools, and edge hardware at CES 2026. And as senior AI reporter Rebecca Bellan notes the move signals the company’s ambition to become the default platform for generalist robotics,
From mobile manipulators to humanoids, Boston Dynamics, Caterpillar, Franka Robots, Humanoid, LG Electronics and NEURA Robotics
Robots have long been the backbone of manufacturing—welding car frames, assembling electronics and executing repetitive tasks with machine-like precision. But outside the structured walls of factories, traditional robots have struggled. Now, that’s ...
Nvidia’s new lineup of open-source AI models is headlined by Alpamayo 1 (pictured), a so-called VLA, or vision-language-action, algorithm with 10 billion parameters. It can use footage from an autonomous vehicle’s cameras to generate driving trajectories.
The open-source Newton Physics Engine — codeveloped with Google DeepMind and Disney Research, and now available in NVIDIA Isaac Lab — helps researchers and developers create more capable and adaptable robots. New NVIDIA (NVDA) Isaac GR00T open ...
DYNA-1 is the first robot foundation model that achieves levels of performance and autonomy suitable for widespread commercial use REDWOOD CITY, Calif., April 29, 2025 /PRNewswire/ -- Dyna Robotics today announced the launch of Dynamism v1 (DYNA-1), a ...
Nvidia CEO Jensen Huang declared physical AI as enabling “a new era of AI,” a bold proclamation now backed by concrete technological breakthroughs. Nvidia’s vision extends beyond isolated automation to a fundamental transformation.
In its first year, Dyna released its breakthrough DYNA-1 foundation model, achieved a 99+% success rate in 24-hour non-stop operation, and proved commercial viability through customer deployments. Dyna will use the latest funding round to expand its team ...
This article reviews contemporary methods for integrating force, including both proprioception and tactile sensing, in robot manipulation policy learning. We conduct a comparative analysis on various approaches for sensing force, data collection, behavior ...
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