Roboto

Roboto: The Analytics Engine for Physical AI

What is Roboto? Roboto is an analytics engine designed specifically for robotics and physical AI applications. It empowers teams to efficiently search, transform, and analyze multimodal data at scale, accelerating the process from raw logs to actionable insights.

How does Roboto work?

Roboto helps robotics teams working with real or simulated data by:

• Organizing logs and files into datasets: Simplify data management by creating structured datasets for easy access and collaboration.
• Automating data processing with actions: Streamline workflows with automated actions for data transformation and analysis.
• Enabling comprehensive data search: Quickly find specific data points and events across datasets, files, topics, and events.
• Visualizing diverse log formats: Gain insights through intuitive visualizations of data from various log formats.
• Surfacing issues and anomalies with AI: Leverage AI-powered tools to identify anomalies and potential problems in your data.

Key Features

• Datasets: Organize and retrieve robotics logs effortlessly. Create datasets, add metadata, and share insights with your team. Supports various file formats and connections to your own storage buckets.
• Actions: Automate the processing and analysis of your logs by running actions. Choose from community actions or create your own custom actions. Automate reviews, QA procedures, and generate custom reports.
• Events: Highlight critical moments in your robotics data, such as anomalies, crashes, or obstacles. Create events manually or automatically using actions.
• Search: Find exactly what you need with powerful multimodal queries. Use tags, metadata, and topic statistics to uncover edge cases before they become problems.
• SDK and CLI: Access Roboto programmatically through the Python SDK and CLI. Fetch slices of topic data and leverage advanced features like signal similarity search to enhance your data analysis.
• Formats: Supports ROS, PX4, and other robotics frameworks, as well as proprietary and custom data formats.

How to use Roboto?

1. Install the Python SDK:

   pip install roboto
   

2. Explore the Features: Dive into datasets, actions, events, and search functionalities to analyze your robotics data effectively.

Use Cases

• Drone Flight Analysis: As highlighted in their blog, Roboto can accelerate drone flight analysis with AI summaries, helping to surface critical issues rapidly.
• Manipulation Event Analysis: Discover and curate events in robotics data faster with signal similarity search, as showcased in their blog posts.
• Robotics Log Review: Helps robotics teams to automate their robotics data analysis with guided examples.

Who is Roboto for?

Roboto is ideal for:

• Robotics engineers and developers.
• AI researchers working with physical systems.
• Teams involved in testing, QA, and deployment of robotic systems.

Why choose Roboto?

Roboto provides a comprehensive solution for analyzing robotics data, enabling teams to:

• Reduce time spent on data processing and analysis.
• Improve the reliability and performance of robotic systems.
• Accelerate the development and deployment of new robotics applications.

By offering powerful search, transformation, and analysis tools, Roboto helps unlock the full potential of robotics data and drive innovation in the field of physical AI.

With features designed to work with popular robotics frameworks like ROS and PX4, as well as custom data formats, Roboto provides a flexible and scalable solution for a wide range of applications. The platform's Python SDK and CLI allow for programmatic access and integration with existing workflows, further enhancing its versatility.