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TraceExtract

Official code for "μ0: A Scalable 3D Interaction-Trace World Model" (CoRL 2026)

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Details

External ID
1409454716
Source
GITHUB
Company
—
Product
TraceExtract
Website domain
github.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.25
Tags
—

Enrichment

Niche
creative coding and visual design tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
3d interaction-trace world model implementation for robotics researchers
Manually corrected
False

Could you build this?

No This is an academic robotics world model paper implementation (CoRL) requiring cutting-edge research in 3D physics, spatial interaction traces, and generative neural dynamics.

What it would actually take: Implemented in PyTorch/JAX using 3D point cloud and spatial representation libraries (such as PyTorch3D or Nerfstudio). Requires expertise in 3D computer vision, diffusion or autoregressive world modeling, multi-view geometry, and massive compute for training predictive physical interaction dynamics on robotic manipulation datasets.

Competitors

Other products that read as similar to this one — 948 launches clear the similarity bar, closest 8 shown.

Attention rank: #714 of 949 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 341 days after the earliest competitor.

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