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atharva ☆

@k7agar • 12,091 subscribers

your friendly neighbourhood engineer

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reporting kurma is wireless and remote controlled now. RL soon

reporting kurma is wireless and remote controlled now. RL soon

2,351,124 görüntüleme

and it works on hardware, inference on a macbook m3 pro. also great at handling highly precise placement / drop thanks to dense patch features solves the task more efficiently that ACT and diffusion.

and it works on hardware, inference on a macbook m3 pro. also great at handling highly precise placement / drop thanks to dense patch features solves the task more efficiently that ACT and diffusion.

12,785 görüntüleme

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I thought the tasks they were doing were too simple, so I asked Astra to “pick up the green block and make it upright.” the way it did it left both sujal and me speechless. I didn’t want to believe it, but now I do scaling is all we need. makes me so much more bullish on VLA's in general

I thought the tasks they were doing were too simple, so I asked Astra to “pick up the green block and make it upright.” the way it did it left both sujal and me speechless. I didn’t want to believe it, but now I do scaling is all we need. makes me so much more bullish on VLA's in general

38,293 görüntüleme • 3 gün önce

zero shot towel folding attempt. RL next

zero shot towel folding attempt. RL next

19,941 görüntüleme • 13 gün önce

MolmoAct2 kinda just works out of the box in an unseen environment and with unseen objects. I find it really crazy that I can just download a model from the internet and plug it into my robot and it can do some tasks at a limited capacity right away. this video is at 2x speed

MolmoAct2 kinda just works out of the box in an unseen environment and with unseen objects. I find it really crazy that I can just download a model from the internet and plug it into my robot and it can do some tasks at a limited capacity right away. this video is at 2x speed

32,346 görüntüleme • 4 ay önce

I tried implementing and benchmarking the π₀ VLA on modal GPU's - I measured latency overhead (HTTP/WS/TCP/QUIC) - measured closed-loop success rates in aloha simulator imo, this is definitely the future of deploying policies on robots more optimizations can get it down to be completive in realtime. network is the bottleneck but can be solved, this unlocks so many applications. I am hoping to try doing this on hardware next. github in commets

I tried implementing and benchmarking the π₀ VLA on modal GPU's - I measured latency overhead (HTTP/WS/TCP/QUIC) - measured closed-loop success rates in aloha simulator imo, this is definitely the future of deploying policies on robots more optimizations can get it down to be completive in realtime. network is the bottleneck but can be solved, this unlocks so many applications. I am hoping to try doing this on hardware next. github in commets

36,387 görüntüleme • 5 ay önce

Daha fazla içerik yok.