Uhand is Changingtek Robotics' tactile data-collection hand for embodied-intelligence research, precision manipulation, and robot-learning data capture.
Target environment: Robotics labs, manipulation research platforms, dexterous-hand testbeds, AI model-training setups, and data-collection rigs.
Workflow context: Tactile data capture, force and pose sensing, manipulation dataset collection, algorithm validation, and contact-rich robot-learning workflows.
Customer context: Robotics researchers, embodied-AI teams, manipulation labs, and developers building tactile or dexterous-control datasets.
Deployment model: End-effector component integrated with robot arms, data pipelines, perception systems, and learning workflows.
Commercial maturity: Newly launched product positioned around tactile sensing and synchronized multimodal data collection.
Adoption constraints: Adoption depends on sensor fidelity, hand durability, robot-arm compatibility, calibration workflow, dataset tooling, and model-training integration.
Market position: Tactile end-effector component for robot-learning and manipulation research.
Adjacent products: Mini45 Force/Torque Sensor, OAK-D Pro AI Stereo Camera, AK80-9 V3.0 Robotic Actuator
Audience
Robot OEMs
Workflow
Tactile data capture, force and pose sensing, manipulation dataset collection, algorithm validation, and contact-rich robot-learning workflows.
Deployment environment
Robotics labs, manipulation research platforms, dexterous-hand testbeds, AI model-training setups, and data-collection rigs.
Specifications
Tactile Array Resolution: 2.34 taxels per square centimetre
Force Detection Range: 0-160 N
Force Sensing Precision: 0.1 N
Xyz Positioning Accuracy: 0.7 mm
Pose Precision: Up to 0.01 degrees
Capture Rate: 30 Hz
Synchronized Modalities: Visual, pose, force and tactile datasets
Software Suite: Real-time data processing and visualization
Compatibility: Mainstream operating systems, robot control frameworks and algorithm development platforms