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A practical, engineering-focused guide to reducing latency and wasted compute in VLA robot policies—based on StreamingVLA’s pipelined execution and FocusVLA’s task-relevant visual attention.
A practical guide to test-time policy composition (GPC) and why score-level mixing can improve diffusion and flow-based robot control without collecting new data.
A deep dive into HTD (Humanoid Transformer with Touch Dreaming) and why predicting future touch in latent space can dramatically improve contact-rich humanoid loco-manipulation.
A practical, engineering-focused guide to reducing latency and wasted compute in VLA robot policies—based on StreamingVLA’s pipelined execution and FocusVLA’s task-relevant visual attention.
A practical guide to test-time policy composition (GPC) and why score-level mixing can improve diffusion and flow-based robot control without collecting new data.
A deep dive into HTD (Humanoid Transformer with Touch Dreaming) and why predicting future touch in latent space can dramatically improve contact-rich humanoid loco-manipulation.
SeedPolicy adds a self-evolving gated attention memory to diffusion policies so robots can use longer observation histories without performance collapse.
UniX AI claims its Panther humanoid has completed continuous multi task validation in unmodified homes, a milestone that reframes what counts as progress beyond staged demos.
A practical guide to making robot manipulation more reliable by turning actions into monitored events, sampling efficient diffusion trajectories, and treating safety as a first class evaluation target.
A practical, end-to-end explainer of why tactile data is the bottleneck for dexterous manipulation and how new teleoperation gloves and visuotactile simulation pipelines help close the gap.
NVIDIA is pushing an unusually complete open stack for physical AI: world models (Cosmos 2.5), a humanoid-ready VLA (GR00T N1.6), scalable benchmarking (Isaac Lab-Arena), and orchestration (OSMO).
RoboPlayground reframes robot evaluation as a language-driven process over structured physical domains, letting anyone author reproducible task families that expose real generalization failures.
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