What is robotics data analysis?

Multimodal data analysis is an advanced approach to processing and interpreting complex datasets that include diverse data types – from visual and auditory inputs, sensors, point clouds, telemetry information and more.

How Foxglove supports robotics data analysis.

Foxglove provides workspaces, panels and layouts that can be optimized for common visualization and debugging tasks enabling robotics teams to comprehend robot operations better along with the ability to share workspaces that create an efficient path to collaboration.

What are Workspaces?

Workspaces are dedicated or shared spaces within a robotic development product to visualize and analyze the data.

How Foxglove supports workspaces.

Foxglove workspaces are at the center of the visualization and analysis experience, along with a left and right sidebar to view panels, topics, problems and variables. Add several different panels to a workspace and share it with a teammate to solve problems together, faster.

What are timelines?

Multimodal robotic data is ingested and indexed at received time and log time to enable playback from the start to the end of a mission or journey.

How Foxglove supports timelines.

Foxglove supports out-of-order and multi-process ingestion, providing a detailed timeline view of  robotic data. Zoom in and out of the data, and navigate to time ranges of interest for deeper and exact point in time analysis.

What are events?

Events represent points or time ranges of interest in recordings; your data.

How Foxglove supports events.

Events help robotic developers quickly identify, categorize and search for relevant subsets of data. For example: identifying interesting scenarios the robot encountered in the world, to then simulate and test new models against the interesting scenario.

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