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Using reinforcement learning we have expanded the range of techniques the Ultra Mobile Vehicle (UMV) uses to handle terrain and obstacles, including hops, out-of-plane balance, and level-ground flips. Millions of physics-based simulations provide training data to support zero-shot transfers.
75,272 görüntüleme • 1 yıl önce •via X (Twitter)
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Learn more about how we’re building and training UMV:

Can you guys build the torment nexus next?

Hey @danny_macaskill 😉

Oof. Ok. Amazing tech, and all I can think of are @itsDanielSuarez's razorbacks.

@steveMmattison Wtf is this...

in robots ko car ko drift karne se rokna hai bass..arrre tu robot hai sidhe bhaag bhai..cycle kyun chala rha hai.

so where can you mount the gatling gun on?

Terminator...

That UMV sounds like it’s ready for the next season of “Extreme Terrain Challenge”!

RAD ✌🏾😎

Reinforcement learning continues to unlock incredible capabilities for mobile robotics! ⚡🤖 Training UMVs through millions of physics-based simulations enables zero-shot transfers — giving robots advanced techniques like hops, flips, and out-of-plane balance for real-world terrain. 🌍🦾 A strong step forward in creating more adaptable, resilient, and versatile robotic platforms. 🚀🔧 #Robotics #ReinforcementLearning #AI #Automation #Engineering #Innovation #SmartTechnology #FutureOfWork

What are you doing ? Who needs this ? I'm sorry but we all learned from Arc Raiders that the answer is an A.I trained giant 6 legged spider-crab with lasers for a mouth ... stop wasting time. And Yes ... I am available to hire for more great ideas like this.

Most people cannot do that, neither can they ride on one wheel.

bonkers

Just add training wheels, but I guess that will kill the cool factor.

You also show the failure. Such honesty is not in China.

But seriously: Great project! Huge military and commercial potential. The market will change significantly in the coming years.


