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Guides, case studies, and decision frameworks
Practical resources for teams scoping, buying, or evaluating robotics data programs. Updated as we publish.
Categories
Three categories, all under one roof
Browse by type. Or jump straight to featured pieces below.
Guides
Practical guides for scoping, evaluating, and running data programs.
6 guides published
Case studies
Anonymized programs we've shipped, with metrics.
5 case studies available
Comparisons
Decision frameworks for picking a data approach.
4 comparisons published
Knowledge index
Every service, platform, location, and compliance concept in one structured reference.
Featured
Start with these six
Two from each category. The pieces most teams want first.
GUIDE 01
A four-step framework for going from “we need data” to a signed SOW. Volume targets, acceptance criteria, ramp planning.
12 min read
CASE STUDY 01
Humanoid foundation model: 3x sample efficiency
Fifty thousand trajectories across three humanoid morphologies. The cross-embodiment data was the unlock.
Anonymized • NDA on request
COMPARISON 01
Dedicated vs Crowdsource vs Hybrid
The three delivery models, what each protects, and which to pick for which stage.
9 min read
INDEX
Knowledge index
Every service, platform, location, compliance regime, and data format Roborax supports — structured for ML engineers and pipeline teams.
Structured reference
GUIDE 02
The data class that separates humanoid policies that transfer from ones that don’t. Capture, retargeting, and validation.
10 min read
CASE STUDY 02
Surgical robot: 67% reduction in tissue contact errors
Procedure-grade teleop data from clinician operators. HIPAA-bound capture. FDA-grade audit trail.
Anonymized • NDA on request
COMPARISON 02
Build vs Buy: when to outsource data collection
The four conditions where in-house data wins, and the four where outsourcing pays back inside a quarter.
7 min read
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