Wearable robot teleoperation
Qnbot Exo Plus wearable teleoperation exoskeleton
Qnbot Exo Plus is designed for embodied AI data collection and precise human-to-robot motion mapping. Its 14-joint system supports low-latency upper-body teleoperation and scalable robotics research.
Request compatibility evaluation
Proprietary hardware and software integration
In-house precision encoders, adjustable mechanical stops, and custom handles support accurate, repeatable upper-body motion capture. The system is designed for robotics labs and embodied AI teams that need a practical human-to-robot interface.
Key specifications
- 14 articulated joints, 7 per arm
- 14-bit joint data resolution
- 200 Hz / 500 Hz standard data output
- 1000 Hz maximum theoretical joint data rate
- USB Type-C power and data interface
- Custom handles and glove/exoskeleton adapters
Typical applications
Upper-body robot teleoperation, embodied AI data collection, motion mapping, manipulation research, and robot demonstration datasets.
What to evaluate before integration
Upper-body teleoperation depends on the target robot's joint layout, command modes, limits, controller frequency, and calibration process. A humanoid robot, dual-arm platform, and fixed manipulator may require different mapping rules even when they use the same operator input. Teams should also define how handles, glove adapters, and optional IMU signals fit into the control workflow.
Preparing demonstration data
For training and replay, exoskeleton joint data should be synchronized with robot state, camera frames, task labels, and episode boundaries. Recording operator motion alongside the mapped robot command helps separate tracking quality from controller behavior and makes unsuccessful demonstrations easier to diagnose.
FAQ
Can the handles be customized?
Custom handles and glove or exoskeleton adapters can be evaluated for the target robot platform and control workflow.
Which operating systems are supported?
Integration materials can be evaluated for Windows, Linux, and project-specific robotics software stacks.
What information is needed for a compatibility review?
Share the robot model, upper-body degrees of freedom, controller documentation, operating system, required update rate, and target tasks. This supports an initial assessment of mapping, interfaces, and deployment risk.