Teleoperation Capture
Human-guided teleoperation and demonstration logging for imitation learning and policy fine-tuning, with multi-camera sync, metadata, and QA gates.
Teleoperation data collection is custom capture of human-guided robot demonstrations. An operator drives your robot while synchronized sensors record observations, actions, and outcomes for imitation learning and policy fine-tuning. Operant runs these programs on your robot, in your environment, around the action space and quality bar agreed up front. You receive demonstrations matched to that robot and ready for your training pipeline.
When teleop is the right method
Teleoperation is the right method when you need expert demonstrations in your robot's action space, particularly for contact-rich manipulation, dexterous tasks, or behaviors that are difficult to script autonomously. It is the workhorse of imitation learning data collection, and it pairs well with targeted edge-case capture for recovery behaviors.
Use a human demonstration when the robot cannot yet be driven through the task. The difference is spelled out in teleoperation versus a human demonstration.
What a program includes
A teleoperation program moves from a calibration pilot to scaled capture. Scoping locks the action space, camera rig, episode boundaries, operator plan, and QA gates. The pilot runs that setup on your robot and produces a small set of episodes your team can load. Scale adds scene variation, operator diversity, and the outcome mix your evaluation needs, using the same logging and metadata schema.
Interface choice sits inside that scope. Leader-follower arms, VR, handheld controllers, and kinesthetic teaching fit different tasks. See how to choose a teleoperation interface before the pilot freezes the control mapping. Process details live in teleoperation best practices.
Action-space design
The action space, what the operator controls and how it maps to the robot, is the most consequential decision in a teleoperation program. We align on it during scoping so demonstrations transfer cleanly to training. Mismatched action spaces are a leading cause of policies that look fine in training and fail on hardware.
Camera and sensor setup
We design and calibrate the camera rig, typically multi-camera RGB-D, alongside proprioception and control streams, with extrinsic and intrinsic calibration captured as deliverables. Time synchronization is handled through our multi-sensor synchronization service so observations and actions correspond exactly.
QA and operator diversity
Quality comes from process. We set time-sync tolerances, metadata completeness checks, and operator diversity targets, then track operator identity and scene variation so the dataset generalizes. A calibration pilot validates the full pipeline before scaling. See what teleoperation support includes and what a pilot requires.
Deliverables
You receive synchronized video, depth, proprioception, and control logs, calibration files, episode metadata and scene catalogs, and optional labels, in the formats your pipeline expects, with documentation and provenance.
Where teleoperation fits
Teleoperation programs power humanoid robotics and warehouse automation capture alike. Live scenario programs include bin picking teleoperation, warehouse pallet pick teleoperation, trailer unload teleoperation, humanoid door opening, garment folding teleoperation, orchard fruit-pick teleoperation, commercial grill-line teleoperation, and laparoscopic phantom teleoperation.
To scope a program around your robot and task, book a discovery call.
FAQ
Scope your capture program
Book a discovery call to align on your stack and data requirements.