Topic Hub

Physical AI

How vision-language-action (VLA) models and foundation models translate into the physical world, where the failure modes are different from chat and code.

What we track

· VLA model architectures
· Sim-to-real transfer
· Embodied AI benchmarks

A whiteboard diagram contrasting rigid robotic arm paths with adaptive robot reasoning

vla-models

Defining the Stack: Why "Levels of Autonomy" is Dead

BCG and Deloitte just retired the automotive industry's L1–L5 framework for robots. The new benchmark is causal reasoning, not scripted precision.

No. 7 of 7 · Priya Raman

A robotic hand fitted with tactile sensors gripping a fragile object

vla-models

The Tactile Missing Link: Why Vision and Language Aren't Enough for Embodied AI

RobOmni, the industry's first tactile-sensing benchmark from Daimon Robotics and Galbot, exposes the grounding bottleneck inside vision-language-action models.

No. 1 of 2 · Maya Chen

A robot arm wired directly into an edge-compute control board on a factory bench

infrastructure

Beyond the Foundation Model: Why the Future of Robotics Belongs to Native Hardware

GENISOM AI's new mass-produced robotics platform bypasses the cloud-wrapped control stack entirely, betting that deployability, not model scale, is now the real differentiator.

No. 2 of 2 · Daniel Osei

Physical AI

Defining the Stack: Why "Levels of Autonomy" is Dead

The Tactile Missing Link: Why Vision and Language Aren't Enough for Embodied AI

Beyond the Foundation Model: Why the Future of Robotics Belongs to Native Hardware

Intelligence, Embodied. Safety, Guaranteed.