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Training fully autonomous robots takes more data than the real world can easily provide. Simulation lets us train, test, and deploy autonomous software without being limited by robots, space, or cost. Here’s OM1 running in simulation side-by-side to the real world.
121,551 просмотров • 9 месяцев назад •via X (Twitter)
Комментарии: 31

I saw future in this video

gMind

simulation unlocks unlimited data for robot builders. om1 matching real world is huge for scaling

Robot's finally getting brain

Simulation reflecting reality drives home the point - robotics scalable in numbers and capability is near!

Don't stop shippin'

sim bridging the gap perfectly. om1 looks spot on side by side

Sim FTW! Scaling data without limits, bridging real-world gaps like a boss. OM1 is looking slick in sync. 🤖

@SidechainGavin That's awesome, our boss gavin 👀

Simulation boosts efficiency, but how does it handle unpredictable real-world scenarios to ensure fully reliable autonomous robots?

Let get to work

looks cool! bro is delivering OM1

This perfectly shows why simulation is essential for autonomous systems scaling data safety and iteration without real world constraints

THIS IS NICE gMind

It might take more data than the real world can provide but I know openmind will figure it out

Hehe gMind @SidechainGavin

spot on, sims unlock swarm behaviors

Openmind is next generational

Bravo

Sim unlocks robot dreams at warp speed

Simulation accelerates progress by removing bottlenecks of physical constraints, but assumes virtual environments can perfectly replicate real-world complexity—bridging that gap is the true challenge.

Great sir

yeah sim grind now, real world later

That's an awesome achievement Gmind

train robots in simulations… meanwhile I can’t even parallel park

Sharp breakdown

gmind

This is amazing

Openmind

Very good

It pulls through and boom, there's the success

