Roboto

Roboto is a comprehensive analytics engine specifically built for the challenges of modern robotics and physical AI. Developed by a team with deep expertise from Amazon Robotics and AWS, Roboto addresses the critical need for robust data infrastructure in the robotics industry. As robots generate massive volumes of complex, multimodal data (from logs and sensor readings to video streams), teams often struggle to efficiently process, search, and derive insights from it. Roboto provides a purpose-built platform to turn this raw data into actionable intelligence, enabling teams to build, test, and deploy safer and more reliable systems faster.

The platform is designed to streamline the entire data workflow, from ingestion to analysis. It allows teams to move from scattered logs to structured, searchable datasets, significantly reducing the time spent on data wrangling. By providing powerful tools for search, visualization, and automated analysis, Roboto helps engineers and researchers identify anomalies, debug failures, and validate algorithms with greater confidence and speed. It's an essential tool for any organization looking to scale its robotics operations safely and effectively, especially in the new era of robot foundation models.

How to use Roboto

Using Roboto involves a streamlined, multi-step process designed to integrate seamlessly into existing robotics development cycles:

1. Organize Your Data: Begin by uploading your robotics data into Roboto. You can upload any file format or connect your own storage bucket (e.g., S3). The platform helps you structure this data into organized 'Datasets'. You can enrich these datasets with metadata and tags for easy retrieval and management.
2. Search and Explore: Utilize Roboto's powerful multimodal search engine to query your data. You can search across logs, video, sensor data, metadata, and topic statistics all in one place. This allows you to quickly find specific events, such as system crashes, obstacle encounters, or performance anomalies.
3. Automate Analysis with Actions: Leverage 'Actions' to automate post-processing and analysis tasks. You can choose from a library of community-built actions or create your own custom scripts. Actions can be used to automate QA procedures, test algorithms against large datasets, generate custom reports, and automatically flag important events.
4. Visualize and Analyze: Use the platform's visualization tools to inspect data from diverse log formats like ROS, PX4, MCAP, and more. This helps in understanding system behavior, identifying patterns, and pinpointing the root cause of issues.
5. Collaborate and Share: Tag important moments as 'Events' and share these insights with your team. This collaborative feature ensures that key findings are communicated effectively, helping to resolve issues faster and improve team alignment.
6. Advanced Programmatic Access: For more complex analysis, use the Python SDK and CLI. This allows you to programmatically fetch data slices, perform advanced queries like signal similarity search, and integrate Roboto's capabilities into your custom data analysis pipelines.

Core Features of Roboto

• Datasets: Easily organize all robotics logs and files into structured, shareable datasets. Supports any file format and integration with your own cloud storage.
• Actions: An automation engine to run custom or community-provided scripts for processing, analysis, and reporting. Automate QA, algorithm testing, and event generation.
• Events: A feature to highlight, tag, and share important moments in your data, such as anomalies, crashes, or specific user-defined occurrences. Events can be created manually or generated automatically by Actions.
• Multimodal Search: A powerful search functionality that allows querying across all data types, including logs, video, sensor data, tags, and metadata, to quickly uncover edge cases.
• SDK and CLI: A comprehensive Python SDK and Command-Line Interface for programmatic access, enabling advanced data analysis, signal similarity search, and integration with custom workflows.
• Broad Format Support: Natively designed to work with standard robotics frameworks like ROS and PX4, as well as proprietary and custom data formats, ensuring wide compatibility.

Use Cases for Roboto

Roboto is versatile and can be applied across various stages of the robotics lifecycle:

• Debugging and Root Cause Analysis: Quickly search through terabytes of log data to find the exact moment a failure occurred and analyze the corresponding sensor readings and video to understand why.
• Edge Case Discovery: Use multimodal search and statistical analysis to proactively identify rare and challenging scenarios (edge cases) that could cause system failures in production.
• Automated QA and Regression Testing: Set up Actions to automatically run tests on new software builds, comparing performance against benchmarks and ensuring no new bugs are introduced.
• Data Curation for Machine Learning: Efficiently search and filter large datasets to find relevant examples for training and validating machine learning models, including robot foundation models.
• Fleet Performance Monitoring: Aggregate and analyze data from a fleet of deployed robots to monitor overall health, identify systemic issues, and track performance metrics over time.
• Remote Triage and Support: As demonstrated by BRINC, use Roboto to quickly analyze customer-provided logs to diagnose issues remotely, keeping robots operational in the field.

Advantages of Roboto

Roboto offers significant advantages for robotics teams:

• Accelerated Development: By automating data wrangling and analysis, it frees up engineers' time to focus on core algorithm development and innovation.
• Improved System Reliability: The ability to systematically find and address edge cases before deployment leads to safer and more robust robots.
• Scalable Data Infrastructure: Provides a scalable solution to manage the ever-growing volume of robotics data, a challenge that often hinders growth.
• Enhanced Collaboration: Centralizes data and insights, making it easier for team members to collaborate on debugging and analysis.
• Purpose-Built for Robotics: Unlike generic data tools, every feature in Roboto is designed with the specific needs of robotics development in mind.
• Expert-Led: Founded by former leaders from Amazon Robotics, the platform is built on years of experience in creating and scaling world-class robotics systems.

Pricing and Plans

Roboto offers a tiered pricing structure to accommodate teams of all sizes:

• Free Plan: Ideal for individuals and small teams starting out. It's free for up to 3 users and includes 100 GB of data storage, 50 compute credits, access to the Action Hub, and community support via Discord.
• Premium Plan: Designed for professional teams that need advanced tools and automation. This plan requires contacting sales for a quote. It includes everything in the Free plan, plus features like concurrent actions, advanced compute options, integration with private storage buckets, AI-powered analysis features, and a private Slack support channel. Storage starts at 1 TB.
• Enterprise Plan: A comprehensive solution for large-scale robotics operations requiring maximum support, security, and customization. This is a custom-priced plan that offers dedicated compute and storage, self-managed deployment options, enterprise-grade support with SLAs, custom data retention policies, and advanced security controls like SAML SSO.