XDOF

Robotics

• Analyze robotics data across modalities to identify quality issues, including plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions
• Build automated validation pipelines that run on ingestion and catch problems before data enters the warehouse
• Design and document data formats and schemas across collection modalities, ensuring consistency, versioning, and clear understanding by partners and internal researchers
• Build data visualization tools and dashboards for team data inspection
• Validate cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams
• Define quality metrics and thresholds per modality and track data quality as collection scales
• Catalog edge cases and failure modes into a shared taxonomy
• Work with data collection operators to trace quality issues to systemic or operator-specific root causes

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Technical Staff Member, Robotics Data