Roboto AI: Search, Analyze, and Organize Robotics Data
Screenshot of Roboto AI

Roboto AI

Roboto AI is an AI-powered engine for searching, analyzing, and organizing multi-modal log data from robots and drones, with support for ROS and PX4

Screenshot

What is Roboto AI?

Roboto AI is an AI-powered engine built for robotics data. Teams use it to search, analyze, and organize multi-modal log data from devices such as robots and drones, including raw sensor data and imagery. It works with common formats, including data from the Robot Operating System (ROS) and the PX4 autopilot system.

The platform provides cloud data storage, metadata tagging, and custom processing actions — such as extracting specific image frames or running your own algorithms. A natural language search feature is planned, allowing questions across different types of data.

What is Roboto AI used for?

  • Search robotics data to find the datasets you need, using patent-pending technology for searching signals
  • Act as a central hub for all your robotics data
  • Tag data with metadata for fast retrieval
  • Extract specific image frames from logs
  • Run custom data processing actions, including community actions for transforming data
  • Spot edge cases in your data
  • Add comments to datasets and notify tagged people when data needs their review
  • Share specific slices of tagged data with others, controlling access to each slice
  • Connect with other platforms you already use

Who is Roboto AI for?

Roboto AI is designed for professionals in robotics and tech, including robotics engineers, data scientists, software developers, project managers, research scientists, and drone pilots.

Getting started

Roboto AI is accessed through its Python SDK and CLI for retrieving and gathering data. Video tutorials and detailed documentation cover advanced analytics, features, and shortcuts. Data can also be exported for use elsewhere, though specific details on the export process and file formats are not provided.

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