Voxel51
End-to-end multimodal data platform for physical AI
115 followers
End-to-end multimodal data platform for physical AI
115 followers
Stop wasting training runs on bad data. Search, visualize, curate, and label the multimodal data behind your physical AI models. Voxel51 turns raw recordings into the data your models actually need.
This is the 3rd launch from Voxel51. View more
Voxel51 Multimodal
Launched this week
The real world is messy. Robots encounter unexpected situations and behave in ways you never anticipated. But every failure is a chance to teach your robot something new.
The hard part? Sifting through hours of video and sensor data to figure out why your robot failed. Voxel51 is an end-to-end multimodal data platform that accelerates robot learning. Find the failures that matter, understand why they happened, and fill gaps in your training data to improve models faster.
Try Voxel51 for free.
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Promoted
The in-app agent is super helpful as a new user. It adapts to your skillset and allows you to see real value very quickly.
The synchronized replay is the part I'd want to understand first — camera feeds, robot states, actions, and sensor data side by side sounds great until the streams don't quite line up. How does it handle timestamp drift between cameras and sensors when you're replaying an episode to diagnose a failure? And when the Voxel51 Agent answers something like "find episodes where the robot failed to complete a grasp," does it point back to the specific episode and timestamp it used, so you can check it rather than taking the answer on trust?
Sick tooling for robotics and Physical AI!