Data Gloves for Robot Training, Teleoperation, and Imitation Learning
Build a complete data-glove stack from finger tracking and tactile sensing to flexible circuits, controller boards, wireless receivers, glove shells, and SDK-ready interfaces.
Build the Robot Training Glove System You Need
Source a complete glove system or select individual modules for a custom robot-learning, teleoperation, or demonstration-data workflow.
Robot Training Gloves
Complete wired, wireless, single-hand, and bimanual data-glove systems for robot training and teleoperation.
Explore category →02Sensor Kits
Configurable sensor sets for prototype gloves, research platforms, and custom robot-data collection projects.
Explore category →03Finger Tracking Sensors
Flex, magnetic, Hall-effect, and joint-angle sensing modules for finger pose and hand-motion capture.
Explore category →04Tactile Sensors
Fingertip, palm, pressure, force, and contact-sensing modules for robot grasp demonstrations.
Explore category →05IMU & Wrist Tracking
Hand-orientation, wrist-pose, and forearm-motion modules for complete motion reconstruction.
Explore category →06Flexible Circuit Boards
Finger-routed FPC assemblies and custom flexible interconnects for compact wearable sensor integration.
Explore category →07Glove Controller Boards
Signal acquisition, conditioning, multiplexing, control, and haptic-driver electronics.
Explore category →08Wireless Receivers
Bluetooth, USB, and low-latency wireless receiver modules for single- and multi-glove systems.
Explore category →09Power & Charging
Battery packs, USB-C charging boards, protection circuits, charging docks, and power-management modules.
Explore category →10Glove Shells & Parts
Replaceable glove shells, liners, sensor channels, wrist housings, straps, mounts, and cable-routing parts.
Explore category →11Haptic Feedback
Vibration, tactile, and force-feedback modules for robot contact and manipulation feedback.
Explore category →12Development Kits
Complete hardware and software bundles for evaluation, integration, robot training, and dataset collection.
Explore category →One Integrated Stack from Finger Motion to Robot Commands
The platform separates sensing, wearable mechanics, control electronics, communication, and software so each layer can be matched to the robot hand, training task, data format, and integration environment.
Motion & Contact Sensing
Finger tracking, wrist orientation, fingertip contact, grip force, and task-specific sensor channels.
Wearable Mechanics
Glove shells, liners, sensor routing, wrist housings, straps, mounts, and replaceable wearable parts.
Electronics & Communication
Flexible circuits, acquisition boards, controller boards, batteries, wired links, and wireless receivers.
Software & Robot Mapping
Calibration, data streaming, recording, SDK access, middleware, and robot-hand retargeting.
From Training Task to Integration-Ready Glove
Define the robot task first, then select the sensing architecture, glove layout, electronics, communication method, and software interface.
Define the Robot Task
Document the robot hand, target manipulation task, motion range, contact events, and data pipeline.
Select the Sensor Stack
Choose finger, wrist, tactile, force, haptic, and synchronization modules around the required signals.
Prototype the Glove
Confirm glove fit, module routing, controller location, receiver architecture, and initial calibration.
Integrate and Validate
Connect the data stream, map hand motion to the robot, record demonstrations, and validate repeatability.
Bimanual Robot Training Development Kit
A dual-glove starting point for synchronized demonstration capture, dexterous teleoperation, dual-arm robot control, and embodied AI dataset collection.
- Left- and right-hand glove hardware
- Finger and wrist motion channels
- Controller, receiver, and power modules
- Calibration and data-streaming integration scope
- Configurable sensor and software architecture
Designed Around Robot Learning and Manipulation Workflows
Use the same modular platform for demonstration capture, dexterous teleoperation, hand retargeting, bimanual control, and embodied AI datasets.
Humanoid Robot Training
Capture operator demonstrations for manipulation, assembly, tool use, and hand-object interaction.
Robot Teleoperation
Translate live hand motion and contact signals into remote robot control.
Imitation Learning
Record structured demonstrations for robot policy training and evaluation.
Hand Retargeting
Map human hand kinematics to robot-specific geometry and joint constraints.
Bimanual Control
Synchronize both hands for coordinated dual-arm and multi-object tasks.
Robot Glove Integration Notes
Technical articles covering sensor selection, data capture, calibration, latency, glove mechanics, and robot-hand retargeting.
Planning a robot training glove project?
Send the robot platform, target hand motions, required signals, communication interface, development quantity, and integration environment for a technical review.