{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/61a7fb4047f64d8f9c0f1abb469cd280\" frameborder=\"0\" width=\"1660\" height=\"1245\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1245,"width":1660,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1245,"thumbnail_width":1660,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/61a7fb4047f64d8f9c0f1abb469cd280-5c9ff9dd8fa06fb7.gif","duration":140.348,"title":"Turning Robot Fixes into Fleet Intelligence","description":"This Loom explains how Fleetbrain prevents robot maintenance issues from becoming untracked tribal knowledge. It describes a data center case where a robot dog cracks its cover after tripping over a toolbox left in an aisle, and notes that without logging, work orders close without learning. With Fleetbrain, technicians capture the repair process as a 3D procedure so the knowledge graph grows across faults and fixes, enabling faster, more consistent responses on new sites. The result is less downtime and continuous improvement across robot deployments."}