AI-Powered Diagnostics for Robots
Roboticks AI diagnostics bring intelligence to every layer of your robotic fleet operations. Nine analysis types — from log analysis to fleet-wide correlation — help your team diagnose issues faster, understand patterns, and prevent failures before they impact operations.
Analysis Types
Roboticks provides nine AI analysis types: Log Analysis for automated root cause detection; Test Failure Analysis to categorize and explain test failures; Device Diagnosis for health and performance assessment; Alert Analysis for context-aware interpretation; Session Analysis for comprehensive review; Simulation vs Real Comparison to validate simulation accuracy; Fleet Correlation to identify fleet-wide patterns; Device Correlation for related issues in device groups; and Root Cause Analysis for multi-factor failure investigation.
Structured Responses
Every AI analysis returns structured output including severity classification, confidence scores, root cause categories, evidence-backed recommendations with references to specific logs and metrics, related component identification, known pattern recognition against historical data, and follow-up questions for deeper investigation.
AI Task Tiers
Three tiers optimize cost and performance: Simple for quick lookups and classifications; Medium for standard analysis and categorization; and Complex for deep investigation and multi-factor analysis with extended context.
Fleet-Wide Intelligence
AI analyzes patterns across your entire fleet, not just individual devices. Fleet correlation identifies common failure patterns, cross-device anomalies, and emerging trends. This fleet-wide perspective helps you address systemic issues before they cascade into widespread failures.