Roboto Agents automates robotics data troubleshooting
Roboto Agents triages ROS logs, finds bugs, and curates training data automatically
Roboto has launched Roboto Agents, an AI-driven tool designed to transform how robotics teams handle their operational data. Originally previewed at ROSCon 2025, this system now automates critical workflows like triage, root cause analysis, data curation, and failure investigation across ROSbags, MCAP files, video feeds, and source code.
The tool processes robotics logs in plain language requests - whether that's 'triage this bag,' 'why did the drone crash,' or 'find stair traversals from the last two months.' It automatically tags failures, traces issues into code repositories to draft fixes, creates ML-ready training datasets, and generates visual reports with highlighted failure moments. This eliminates the manual digging through write-once logs that typically happens only when systems fail in the field.
- Roboto Agents automates triage across ROSbags/MCAP, opening tickets in Linear/GitLab/Jira with failure evidence
- Performs root cause analysis by tracing failures into codebases and drafting fix suggestions
- Curates training data by finding specific scenarios across logs and exporting to formats like LeRobot
Why It Matters
Turns unused robotics data into actionable insights, reducing downtime and improving autonomous systems