Robots Digest 🤖
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By unifying prediction and control, NavWAM acts as a closed-loop policy out of the box. In evaluations, it outperforms planning-based world models without needing test-time action search, matches a much larger 7B VLA policy, and transfers successfully to real mobile robots.
Robots Digest 🤖11,076 görüntüleme • 1 ay önce
Realtime-VLA FLASH tackles one of the biggest deployment bottlenecks for diffusion-based VLAs: inference latency. The key idea is speculative inference for flow-matching VLAs. A lightweight draft model predicts an action chunk, while the main model’s Action Expert verifies it in parallel using flow-consistency checks instead of running full denoising every replanning round. This lets the system replace many expensive 58 ms full inference rounds with speculative rounds as fast as 7.8 ms, reducing average latency to 19.1 ms and achieving a 3.04× speedup on LIBERO while largely preserving success rate. Interesting systems insight: they profile π0 and show VLM prefill is compute-bound, while Action Denoise is memory-bound. FLASH exploits this by reusing KV cache and parallelizing verification instead of repeatedly running sequential denoising.
Robots Digest 🤖14,438 görüntüleme • 2 ay önce
Boston Dynamics Atlas Robot Powered by AI "Large Behavior Models" Boston Dynamics and Toyota just showed Atlas doing something wild, packing boxes using a Large Behavior Model. One AI brain controls walking, crouching, lifting, everything. Just learned from human demos.
Robots Digest 🤖25,305 görüntüleme • 7 ay önce
Touch was the missing sense in robotics But FlexiTac is here to change that. An open-source, low-cost, scalable tactile sensor that’s: • ~3 min to fabricate • ~$2.5 per unit • Real-time + ML-ready This is what making hardware actually accessible looks like.
Robots Digest 🤖12,982 görüntüleme • 4 ay önce
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