Physical AI Working Group with Roboto AI
- Date
- 2026-06-09
- Host
- MassRobotics
About this event
Benji Barash of Roboto will talk about how to deal with multimodal data generated during operation by robotic systems.
Who should attend
If you work on robots and keep running into messy, high-volume sensor data, this session is for you. - **Robotics engineers and builders** who want a clearer handle on the multimodal data their systems generate during real-world operation, from sensing and perception to downstream analysis. - **Applied AI and ML practitioners** exploring how physical systems produce data differently than software-only products, and what that means for collection, organization, and use. - **Technical leads and researchers** thinking about infrastructure for robotics data pipelines, especially if you’re trying to make operational data more useful for debugging, iteration, or model improvement. - **Founders and product-minded operators** building robotics companies or tools and wanting a practical view into one of the hardest parts of the stack: dealing with data once robots are actually in the field. - **Anyone curious about Physical AI** who wants a grounded, technical conversation rather than a high-level overview, and would benefit from hearing how Roboto approaches this problem in practice. If you care about turning robotic system data into something usable, this working group will likely feel immediately relevant.