KD: Traversal Sense Component

Give your character's movement system full spatial awareness. KD: Traversal Sense is a lightweight, pure environment detection engine for Unreal Engine 5.7+.

Given a character and a configuration struct, it runs precise environment queries and returns a complete ScanResult in a single execution call — outputting raw, highly accurate spatial data including front/back ledges, obstacle dimensions, airborne status, and lateral wall vectors.

This plugin is strictly a Sensing / Detection Layer. It contains no movement logic or animation code. Instead, it outputs clean, ready-to-use spatial data designed to feed directly into Motion Matching, GAS, Custom Movement Systems, or Blueprints.

🌟 Key Features & Technical Highlights

• Pure Environment Detection: Dedicated exclusively to scanning geometry — zero animation or movement logic dependencies.

• Motion Warping Ready: All detected surface normals are guaranteed horizontal, allowing you to pass target vectors directly into Motion Warping without additional rotation math.

• Top Surface Snap: Precise ledge finding where target coordinates snap directly to the actual top surface, not floating on wall faces.

• Single-Call Query: Fetches complete spatial data (ledge coordinates, obstacle dimensions, wall vectors, and airborne state) in one unified result.

• Universal Output Data: Easily plug the resulting data into UE5.7 Motion Matching, custom ability frameworks, or gameplay logic.

🛠️ What’s Included?

• KD Traversal Sense Component & Function Library

• Clean Configuration Structs for query customization and debug visualizers

🚀 Technical Details

• Target Engine Version: Unreal Engine 5.7+

• Dependencies: None (Pure Engine)

• Target Platforms: Windows, Consoles

⚠️ Beta Notice: Fully functional and actively used in production. Edge cases may occasionally appear — please feel free to report them via the Fab product comments for rapid updates!

💡 Part of the Kinetic Dynamics (KD) locomotion ecosystem. KD: Traversal Sense provides the raw environment data needed to drive our upcoming parkour and movement modules!