XRCore Training Toolkit – Guided XR Training for Unity

XRCore Training Toolkit is a production-ready guided training runtime for Unity XR built on top of the XRCore Spatial AI framework.

The toolkit transforms XR scene prototypes into structured, reusable, and measurable training workflows through scenario orchestration, validator-driven progression, runtime feedback systems, and modular interaction architecture.

Where XRCore SDK provides the event-driven runtime foundation for perception, reasoning, and XR interaction, XRCore Training Toolkit adds the guided workflow layer required for industrial training, onboarding, procedural simulations, and context-aware XR assistance.

Developers can create XR training experiences using reusable scenarios, modular validators, and runtime-configurable profiles instead of duplicating scene-specific interaction logic.

XRCore Training Toolkit includes:

• Scenario and step orchestration systems

• Validator-driven training progression

• Runtime instruction and feedback UI

• Highlight and audio guidance systems

• No-code training profiles and preset switching

• Runtime diagnostics and watchdog recovery

• Session telemetry and JSON export

• Industrial XR demo scenes and onboarding workflows

• One-click Setup Wizard for rapid XR project integration

The toolkit supports modular validation workflows including:

• Object focus validation

• Grab interaction validation

• Placement validation

• Custom interaction signals and runtime events

XRCore Training Toolkit is designed for:

• Industrial XR training

• Guided onboarding experiences

• Procedural XR workflows

• Operational assistance systems

• Simulation-based learning

• Context-aware XR guidance

The architecture is compatible with Built-in, URP, and HDRP and supports Unity XR projects using OpenXR and XR Interaction Toolkit.

XRCore Training Toolkit requires XRCore SDK and is designed as part of the XRCore ecosystem alongside future modules for assessment, authoring, voice guidance, contextual memory, and advanced perception systems.