Robots Digest 🤖
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NVIDIA researchers just released PixelUMM, a unified multimodal model that fundamentally changes how models process visual data. Groundbreaking highlights: Entirely removes VAEs and ViTs from the architecture Operates directly in raw pixel space for both image and video tasks Handles both visual understanding and generation within a single encoder-free model
Robots Digest 🤖51,172 Aufrufe • vor 20 Tagen
Most robots can see what is in front of them. The harder problem is remembering where things are, what moved, what disappeared, and how the scene changed. SuperMap turns SLAM into a persistent 4D spatial memory by combining geometric mapping with open-vocabulary perception.
Robots Digest 🤖26,243 Aufrufe • vor 2 Monaten
Agentic Real2Sim is an interesting take on world modeling. Instead of learning physics directly from videos, it lets a Vision-Language Agent reconstruct a physics simulator from a single real-world video. The result is an editable, executable world model that can be queried, simulated, and improved.
Robots Digest 🤖12,075 Aufrufe • vor 3 Monaten
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 Aufrufe • vor 10 Monaten
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 🤖14,576 Aufrufe • vor 5 Monaten
Robot learning has a data problem. Expert demos are expensive, but the world is full of imperfect data: noisy teleop, sim demos, wrong tasks, cross-robot datasets. Ambient Diffusion Policy asks a better question: Not "should we use bad data?" but "when during diffusion is bad data still useful?"
Robots Digest 🤖11,067 Aufrufe • vor 4 Monaten
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 Aufrufe • vor 4 Monaten
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 🤖12,997 Aufrufe • vor 7 Monaten
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