Free worldwide shipping on order over $50
Email Us Now: info@wholesaleindustrialparts.com
Linker Hand L20 is a 21-joint dexterous robotic hand designed to accurately replicate the natural grasping motions of the human hand, enabling delicate and precise manipulation.
It adopts an innovative linkage transmission mechanism and self-developed motors to ensure high-precision movement. The system supports force and tactile sensors, enabling multimodal perception that enhances environmental adaptability and intelligent interaction.
With its high degrees of freedom, multimodal sensing capability, and advanced force–position hybrid control algorithms, the Linker Hand L20 is widely applicable across various fields, including:
Education and scientific research
Industrial automation
Household assistance
Healthcare and rehabilitation
It provides a precise and highly dexterous manipulation solution for diverse application scenarios.
Linkerbot L20 Robot Hand Product Manual
| Degrees of Freedom | 16 |
| Number of Joints | 21 (16 active + 5 passive) |
| Transmission Type | Linkage drive |
| Control Interface | CAN/RS485 |
| Communication Rate | 600kbps |
| Weight | 1100g |
| Maximum Load | 10kg |
| Operating Voltage | DC24V±10% |
| Static Current | 0.2A |
| Average No-load Operating Current | 1A |
| Maximum Current | 3A |
| Repeat Positioning Accuracy | ±0.2mm |
| Opening/Closing Time | 1.2s |
| Maximum Thumb Tip Force | 18N |
| Maximum Four-Finger Tip Force | 20N |
| Maximum Five-Finger Gripping Force | 100N |



The hand features 16 degrees of freedom and 21 joints (16 active joints + 5 passive joints).
The 16 active joints are independently driven, enabling precise control of each finger joint and allowing delicate operations such as grasping, pinching, and fine manipulation.
The 5 passive joints utilize elastic structures that automatically adapt to the shape of objects, reducing damage to fragile workpieces while improving grasp stability.
The coordination between active and passive joints ensures both high operational precision and strong adaptability, closely replicating the natural feel of human hand movements.
The system can be equipped with force sensors, vision sensors, and electronic skin sensors to accurately perceive:
Contact force
Object shape
Short-range visual information
This multimodal sensing capability significantly enhances environmental adaptability and intelligent interaction performance.
Built on an edge–cloud integrated architecture, users can quickly deploy tasks by calling functions from a cloud-based skill library with a single click.
This approach:Lowers the barrier to entry
Accelerates development and deployment efficiency
Enables rapid application integration
The hand features a robust and impact-resistant structure, making it suitable for high-intensity training and industrial environments.
It also supports self-developed teleoperation and data acquisition devices, providing strong support for:
Data farm construction
Algorithm training
AI model optimization
The system can precisely control the spatial position of the entire hand and each finger joint.
It smoothly executes predefined trajectory movements, ensuring high precision from overall hand motion to fine single-joint adjustments.
This capability is ideal for applications requiring high positioning accuracy, such as:
Precision assembly
Trajectory-based operations
Finger movement speed can be flexibly adjusted according to task requirements.
High-speed mode improves operational efficiency
Low-speed mode ensures safety and precision during delicate tasks
This allows the system to effectively balance operational efficiency and manipulation safety, making it suitable for a wide variety of tasks.
With fingertip sensors, the hand can detect and precisely control the force and torque applied by the fingers in real time.
The system dynamically adjusts output force to:
Prevent damage to fragile objects caused by excessive force
Prevent object slippage due to insufficient force
This provides reliable force control for delicate tasks such as
Screw fastening
Thin sheet gripping
Precision manipulation
The dexterous hand supports online firmware upgrades via a host computer.
This enables continuous iteration of:
Functional modules
Core performance parameters
It is well suited for industrial and research environments requiring long-term system upgrades, ensuring the device remains efficient and up-to-date throughout its operational lifecycle.
Please click Accept Cookies to continue to use the site.