Humanoid Quality Gate Pass: Overlap, Silhouette, and Part Grouping

Why this pass matters

Humanoid units are the most scrutinized assets in the roster. Their silhouettes drive instant recognition, and any overlap or part group ambiguity breaks the read.

This pass prioritizes both visual clarity and diagnostic trust so iteration can proceed without guesswork.

• Reduce overlap and thin geometry violations.
• Make silhouettes cleaner at tactical zoom.
• Ensure part group diagnostics match the actual mesh breakdown.

Overlap and thin geometry tuning

Overlap budgets were tightened and enforced with guardrails rather than ad hoc tuning. Thin geometry checks now prevent fragile panels from slipping through unnoticed.

These checks are applied consistently to keep part level changes measurable across the full humanoid lineup.

• Overlap conflicts trimmed across key torso and limb parts.
• Panel thickness clamped to prevent paper thin geometry.
• Silhouette ratios updated to preserve broad shoulder read.

Part grouping clarity

Diagnostic groupings now map to clearer humanoid categories so part highlighting does not collapse into a two color mess. This helps isolate problem areas when tuning shoulder joints, cuffs, or weapon mounts.

Weapon assemblies and attachments now surface in their own group, making it obvious when a gun part is unassigned.

• Expanded group buckets: torso, head, arms, legs, joints, backpack, weapons, sensors, accessories.
• Normalized group metadata from schema and inferred part IDs.
• Improved highlight colors for rapid visual scanning.

Next refinements

The current pass establishes consistent thresholds and part labeling. The next iteration will focus on deeper shape refinement for the torso, shoulder joints, and weapon mounts while keeping the gate metrics under control.

• Push shoulder and arm junction quality without adding overlap.
• Refine torso shell layering for stronger panel reads.
• Continue tightening part group assignment coverage.

Next Steps