Embodied AI dataset & teleoperation data marketplace
RoboPlane.ai connects robotics teams with suppliers who capture teleoperation data, egocentric video and manipulation demonstrations — the training data that teaches robots to act in the real world.
Process
Create a profile
Introduce your organization, capture hardware and areas of expertise.
Browse tenders
See requests with volume, budget and deadline set by buyers.
Submit a bid
Send your price, delivery time and notes on sample data.
Define your need
Open a tender with data type, target volume and budget range.
Compare bids
Review incoming bids on one screen, then accept or reject.
Validate samples
Pre-check the structure and quality of sample sets with Test Your AI.
What you can source
An embodied AI dataset pairs what a robot perceives with the actions it takes — camera streams, proprioception and action labels recorded in real environments. Buyers use them to train and fine-tune robot foundation models and vision-language-action policies.
Teleoperation data is captured when a human operator remotely drives a robot through a task. These demonstrations are the core input for imitation learning, and suppliers on RoboPlane.ai can bid on tenders that specify robot platform, task and target hours.
First-person video of people performing tasks and recorded manipulation demonstrations — grasping, pick-and-place, assembly — help close the gap between simulation and real-world deployment.
Live requests
Teleoperation recordings of folding tasks on 50+ fabric types using a bimanual manipulator. RGB-D, joint states and gripper force data expected.
Real kitchen tasks recorded with a head-mounted camera, including hand-object interactions. Must include action segmentation labels.
Picking attempts from shelves with mixed SKUs; labeled success/failure with 6-DoF pose information.
Join our waitlist for early access, pilot projects and data partnerships.
Join the waitlist