Robotics Weekly

A Weekly Editorial on Robotics & Artificial Intelligence

Topic Hub

AI Infrastructure

The compute, simulation platforms, and chips underneath robotics — and who's positioning to own the layer every robotics company has to build on.

What we track

  • · Simulation & training infrastructure
  • · Robotics-specific chips and platforms
A data center server rack alongside a robot chassis on a factory floor

robotics-funding

The Infrastructure Monopoly: Nvidia's Quiet Conquest of Physical AI

Jensen Huang's South Korea tour wasn't about hardware. It was about making Isaac GR00T the default operating system every robotics company has to license.

No. 5 of 7 · Daniel Osei

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 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

Advertisement

Intelligence, Embodied. Safety, Guaranteed.

Xolver gives robot arms a foundation model that sees and adapts in real time — and an enforcement layer that makes unsafe motion architecturally impossible. Retrofit existing hardware or build on the VLA model SDK. Either way, autonomy you can audit, not just hope works.

Explore xolver.ai →