video1.0<iframe src="https://www.loom.com/embed/15be947f0931480a831a57031f4a47cb" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/15be947f0931480a831a57031f4a47cb-df7d5b4eb16e8100-full.jpg776.805In this video, I walk through key features in Roboto that streamline robotics data analysis. Roboto supports multimodal data—such as video, time-series, and console output—from a wide range of robot log formats, including ROS, PX4, MCAP, Parquet, CSV and Journal. It's also possible to ingest custom or proprietary formats. As an example, I use PX4 ULog data from drones to demonstrate how to visualize data from multiple sensors, run automated actions for custom analysis, and use powerful search tools to uncover patterns and anomalies. Learn more at: www.roboto.ai or read the docs: https://docs.roboto.ai