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FH-JQ1015
Feihong
The Dexterous Hand Kinematics Testing System is a specialized measurement and validation platform designed for humanoid robot hands, dexterous manipulators, robotic grippers, and advanced end-effectors.
The system performs comprehensive kinematic performance testing, motion characterization, and calibration verification. With a high-speed data acquisition rate of up to 1 kHz, it captures complete motion trajectories, joint angles, positioning accuracy, movement speed, and gesture execution data in real time.
By providing precise motion analysis and quantitative performance evaluation, the system helps engineers optimize robot hand control algorithms, improve manipulation capabilities, and validate product performance throughout R&D and production stages.
The platform evaluates multiple motion-related parameters within a single testing environment, including:
Joint angle measurement
Motion trajectory tracking
Position accuracy analysis
Motion speed measurement
Repeatability verification
Gesture execution testing
Dynamic motion performance evaluation
System calibration validation
This enables a complete understanding of dexterous hand movement behavior under real operating conditions.
With sampling rates up to 1,000 Hz, the system captures rapid finger and hand movements with exceptional temporal resolution.
Benefits include:
Accurate motion reconstruction
Dynamic movement analysis
High-frequency control verification
Detailed trajectory monitoring
The system records and analyzes:
Joint rotation angles
Finger displacement
Motion paths
Velocity profiles
Position deviations
Repeatability performance
These measurements provide critical feedback for improving robotic hand control and mechanical design.
The platform supports kinematic calibration procedures used during:
New product development
Manufacturing quality verification
Sensor validation
Motion control optimization
Periodic system maintenance
The collected data can be used to:
Optimize motion planning algorithms
Improve grasping performance
Refine gesture recognition
Enhance manipulation accuracy
Validate AI-based hand control systems
Parameter | Specification |
|---|---|
Force Range | 0.1 N – 500 N |
Static Force Measurement Error | 0.5% F.S. |
Dynamic Force Measurement Error | 1% F.S. |
Data Acquisition Rate | Up to 1 kHz |
Measures finger and joint rotation angles throughout the movement cycle.
Testing Purpose:
Verify whether each joint achieves the intended motion range and positioning accuracy.
Tracks linear and rotational movement distances of fingers and hand mechanisms.
Testing Purpose:
Evaluate motion consistency and validate actuator performance.
Measures movement velocity during opening, closing, grasping, and gesture execution.
Testing Purpose:
Assess dynamic response capability and control system efficiency.
Repeatedly executes identical movements and compares endpoint positions.
Testing Purpose:
Determine positioning consistency and long-term stability.
Analyzes execution quality of predefined hand gestures and manipulation sequences.
Testing Purpose:
Validate gesture recognition, motion coordination, and human-like hand behavior.
Captures complete movement trajectories during high-speed or complex operations.
Testing Purpose:
Evaluate motion smoothness, tracking accuracy, and overall kinematic performance.
Dexterous hand development
Finger joint validation
Motion algorithm optimization
Human-like manipulation testing
Object handling verification
Gesture interaction testing
Precision grasping development
End-effector validation
Automated manipulation systems
Quality assurance testing
Robotics research
Motion control studies
Human-machine interaction projects
The system can be configured according to international robotics testing requirements and customer-specific validation procedures, including:
ISO 9283 – Manipulating Industrial Robot Performance Testing
ISO 13482 – Personal Care Robot Safety
ISO 10218 – Industrial Robot Safety
IEC 61508 – Functional Safety
Internal R&D Validation Protocols
Custom OEM Test Procedures
Kinematic testing evaluates how accurately a robotic hand performs intended movements. It measures joint angles, trajectories, positioning accuracy, speed, and gesture execution to verify overall motion performance.
A robot hand must consistently return to the same position when performing repetitive tasks. Repeatability testing identifies positioning drift, mechanical wear, and control system inconsistencies that could affect manipulation accuracy.
Trajectory analysis reveals the actual motion path followed by the hand or fingers during operation. Engineers can compare planned and actual trajectories to optimize control algorithms and improve movement precision.
The high-speed acquisition rate captures fast finger movements and transient motion events that lower sampling systems may miss. This enables more accurate dynamic performance evaluation and control system tuning.
Yes. The platform supports kinematic calibration by measuring actual joint positions, movement ranges, and motion errors. Calibration helps improve overall positioning accuracy and control performance.
The system is suitable for:
Humanoid robot hands
Multi-finger dexterous hands
Robotic grippers
Prosthetic hands
Service robot manipulators
Research and experimental robotic end-effectors
It can also be customized for specific hand architectures and joint configurations.