Announcing the Foxglove SDK, a unified toolkit that simplifies integrating your robotics stack with Foxglove. Read the full announcement →
Announcing the Foxglove SDK, a unified toolkit that simplifies integrating your robotics stack with Foxglove. Read the full announcement →
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.
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.
Workspaces are dedicated or shared spaces within a robotic development product to visualize and analyze the data.
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.
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.
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.
Events represent points or time ranges of interest in recordings; your data.
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.
