Hardware-Agnostic Teleoperation
A standard low-latency interface for controlling different robots across hardware, simulation, and real-world environments.
Universal Teleoperation Marketplace
tlxperience connects global teleoperators to real and synthetic robots through a standard low-latency interface, while converting every session into structured robot-skill data for physical AI.
Platform
Control robots through a standard low-latency web interface across hardware, simulation, and real-world environments. Every session can be mirrored in a digital twin and transformed into reusable robot-skill data.
A standard low-latency interface for controlling different robots across hardware, simulation, and real-world environments.
Each teleoperation session can be mirrored in a digital twin, replayed, and used to validate robot behavior before deployment.
Human actions become normalized datasets for labeling, augmentation, robot learning, and marketplace licensing.
People can earn remotely by operating robots in simulation or reality while helping companies generate valuable interaction data.
Data
Teleoperation sessions generate normalized data for replay, quality checks, annotation, augmentation, robot learning, and marketplace licensing. Public datasets can be traded while private datasets stay client-exclusive.
Working demos
tlxperience already demonstrates remote robot control, cross-robot compatibility, multi-input operation, and real-time streaming across user devices.
The same interface is being built to support real robots, synthetic environments, VR headsets, game controllers, keyboard control, and the data pipelines needed for physical AI.
Low-latency teleoperation with live video and command streaming across regions.
Teleoperation workflows tested in simulation before real-world deployment.
VR, game controllers, and keyboard input for different operator setups.
Each session can become structured data for replay, labeling, and learning.
Operators
tlxperience is building an accessible path for people to operate robots remotely in simulation and real-world environments. Early participants will help validate the interface, support pilot tasks, and generate useful robot-skill data.
Platform thesis
Platform challenge
Workforce layer
Data pipeline