Uhand Context

Market context

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
  • Weight G: 600
  • Battery Runtime: Up to 4 hours

Tags

  • Peer Group: Tactile Sensor, Tactile Sensors
  • Workflow: Robot learning data
  • Capability: Tactile feedback
  • Stack Layer: Data infrastructure

Comparable Systems

View Uhand overview