{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/58fdaca2552248d88ad541841c8fbac6\" frameborder=\"0\" width=\"3598\" height=\"2698\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":2698,"width":3598,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":2698,"thumbnail_width":3598,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/58fdaca2552248d88ad541841c8fbac6-2ab9c606bb2f7867.gif","duration":262.096,"title":"Debugging a PX4 drone flight with Roboto AI Chat","description":"In this video, I walk through our new agentic analysis capability on the Roboto platform, designed to accelerate the process of triaging and debugging robotics data. As robotics engineers, we often spend hours sifting through log files like ROS bags, MCAP files and PX4 ULogs to find issues, but with AI Chat, you can now ask questions directly and get faster insights into problems.\n\nLearn more: https://www.roboto.ai/post/a-new-paradigm-for-robotics-data-analysis"}