Robotics is slow because every change needs physical setup, people, space, and repeated field runs.
Physical AI needs the kind of testing system software teams already relies on.
Antioch just introduced Antioch Agent, a browser-based robotics simulator.
Antioch runs your existing robot software inside simulation, connects it to virtual sensors and actuators, and lets you test robot behavior without spending every test cycle on physical hardware.
Users are excited about Antioch's browser-based simulator for physical AI robotics testing because it enables rapid iteration cycles and software-like feedback loops that remove the slow physical testing bottleneck.
@rohanpaul_ai The bottleneck in robotics has never just been intelligence.
It's iteration speed.
Anything that lets teams test 100 times before touching hardware is a massive advantage.
@rohanpaul_ai Shifting physical robotics iteration to the browser is a massive unlock for dev speed. ⚡️
Robotics is slow because every change needs physical setup, people, space, and repeated field runs.
Physical AI needs the kind of testing system software teams already relies on.
Antioch just introduced Antioch Agent, a browser-based robotics simulator.
Antioch runs your existing robot software inside simulation, connects it to virtual sensors and actuators, and lets you test robot behavior without spending every test cycle on physical hardware.
@rohanpaul_ai Testing in simulation before physical deployment changes the game
This is genius. Antioch Agent flips robotics from hardware hell to software heaven. Vision: We’ll train embodied AI agents in browsers at warp speed, then deploy them into the real world in weeks. Physical intelligence explodes—factories, homes, exploration all transform. The browser just became the new robotics lab
@rohanpaul_ai Physical AI won’t scale until robotics gets the same testing discipline software teams rely on. A browser‑based simulator that runs real robot code removes the slowest part of the loop — physical setup — and turns iteration speed into the real advantage.
@rohanpaul_ai Software teams figured this out decades ago
Robotics has been late to adopt basic dev practices
@rohanpaul_ai this is lowkey huge.
robotics has always been stuck in slow physical iteration loops.
if simulation like this actually works at scale, robotics starts to look like software dev speed.
the real shift isn’t the robot — it’s the iteration cycle.
whoever shortens that loop wins.
@kossy_daniel true
@Pacoxbt yes, huge bottleneck removed
@ShinkaIoT indeed
@rohanpaul_ai Every software engineer understands CI/CD. Run a change, get instant feedback, iterate. Robotics teams couldn't do that — every test needed physical space, hardware, and people. Antioch just gave Physical AI the feedback loop software took for granted.
Robotics is slow because every change needs physical setup, people, space, and repeated field runs.
Physical AI needs the kind of testing system software teams already relies on.
Antioch just introduced Antioch Agent, a browser-based robotics simulator.
Antioch runs your existing robot software inside simulation, connects it to virtual sensors and actuators, and lets you test robot behavior without spending every test cycle on physical hardware.