Introducing Roboto: Your Copilot for Sensor Data

If you're tired of writing scripts to search and analyze multi-modal data, Roboto might be just the solution for you. This AI-powered tool aims to help users securely store slices of sensor data in the cloud, allowing for easy search, analysis, and transformation with just a few clicks.

The Basics: Getting Started

When it comes to getting started with Roboto, the process is fairly straightforward. Here are some key features and functionalities of the tool that make it a great option for working with sensor data:

  • Data Management: Store sensor data and logs in the cloud. Organize it with tags and metadata for fast retrieval. Users can also comment on datasets, send notifications, and tag people for review, making collaboration seamless.

  • Actions: Run actions to transform and process data. This includes extracting image frames from logs and running algorithms on them. Users can use community actions or even create their own.

  • Natural Language: While this feature is "coming soon," it's worth mentioning. Roboto plans to allow users to use natural language to search sensor data across multiple modalities simultaneously.

Pros and Cons


  • Streamlined data management and organization
  • Customizable actions for data transformation
  • Future support for natural language search


  • Some features are still in development
  • Limited information on pricing and availability

Versatility is Key

One of the stand-out aspects of Roboto is that it aims to be more than just a data infrastructure tool. By utilizing AI, users can search their sensor data, compile datasets, and identify edge cases, making it a valuable asset for robotics engineers and researchers alike.

If you're looking for a tool that promises to make working with sensor data a much more efficient process, Roboto might just be the copilot you need to navigate the complexities of multi-modal data analysis.

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