The economics of Physical AI: Why data quality beats scale
To reach the level of robustness the Physical AI community aspires to, namely generalist policies deployable zero-shot on...
How tactile sensing improves model performance
Vision-language-action models are the current state of the art in robotic manipulation. They still cannot pick up a potato chip...
Vision-only manipulation is hitting a wall
In 2016, I said something that went against where robotics was heading at the time: vision alone doesn’t work for grasping.
Not...
How Medra built the largest autonomous lab in the United States
Medra Lab 001 is the largest autonomous AI-driven laboratory in the United States, operating continuously with robotics, AI,...
-modified.png)
Why Physical AI isn't scaling yet, and what's holding it back
Physical AI is advancing quickly.
AI models can now recognize objects, plan actions, and adapt to new tasks. But despite this...
AI can decide. But can it act? The missing layer in Physical AI
Artificial intelligence has made impressive progress.
Models can classify images, generate text, and even plan complex...
Scaling Physical AI: Why grippers and sensors matter for real-world robotics
Physical AI is evolving quickly.
From imitation learning to foundation models, robotics teams are making real progress toward...
From Physical AI to operational AI
Artificial intelligence has brought enormous excitement to robotics.
Robots can now walk, navigate complex environments, and...
Robots can see. But they still can't feel.
Artificial intelligence has dramatically improved how robots perceive the world.
Computer vision allows robots to detect...
Leave a comment