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contact-uan

Contact-UAN: a proprioception-based residual world model for humanoid control

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GITHUB · launched Oct 15, 2026 · 19 upvotes (top 67%)

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Could you build this?

No This is academic robotics research on residual world models and proprioception-based humanoid control, requiring physical robotics expertise, reinforcement learning, and physics simulation environments.

What it would actually take: Requires deep reinforcement learning frameworks (Isaac Sim/Gym, MuJoCo), neural world models predicting transition dynamics from high-frequency proprioceptive sensor streams (IMU, joint encoders), and sim-to-real transfer pipelines. Demands specialized PhD-level robotics researchers, real-time control hardware/software integration, and humanoid robotic testbeds.

Competitors

Other products that read as similar to this one : 1844 launches clear the similarity bar, closest 8 shown.

Attention rank: #1175 of 1845 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 351 days after the earliest competitor.

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