Overview
LINKERBOT Linker Hand L10 is a dexterous robotic hand with 10 active degrees of freedom (DoF) and worm gear transmission. It supports CAN/RS485 control interfaces and is intended for integration with compatible robotic arm platforms and software stacks.
Key Features
- High dexterity: Each finger independently features 4 degrees of freedom for complex and precise operations.
- Multi-sensor system: Includes cameras and e-skin to support visual/perception modeling for environmental awareness and interaction.
- End-cloud integration: Rapid deployment via a skill library cloud service without requiring coding, supporting efficient customization and reduced operational complexity.
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Product ecosystem support:
- Supported robotic arms: UR, Franka, XArm, RealMan, AgileX
- Supported data acquisition methods: teleoperation gloves, exoskeleton gloves, liquid metal sensing gloves, vision, VR (Meta Quest 3)
- Supported simulators: Pybullet, Isaac, MuJoCo
- Supported interfaces: CAN, 485
- Usage examples: ROS1, ROS2, Python, C++
Specifications
| Degrees of Freedom (DoF) | 10 |
| Number of Joints | 20 (10 Active + 10 Passive) |
| Transmission Mode | Worm Gear Transmission |
| Control Interface | CAN/RS485 |
| Weight | 800g |
| Maximum Load | 25kg |
| Operating Voltage | DC24V±10% |
| Static Current | 0.2A |
| Average Current (No-Load Movement) | 0.5A |
| Maximum Current | 3A |
| Repeat Positioning Accuracy | < ±0.2mm |
| Opening/Closing Time | 1.2s |
| Maximum Thumb Fingertip Force | 15N |
| Maximum Four-Finger Fingertip Force | 15N |
| Maximum Five-Finger Grasping Force | 80N |
Applications
- Robotic manipulation tasks requiring dexterous grasping and finger coordination
- Integration with supported robotic arms and simulation environments (Pybullet, Isaac, MuJoCo)
- Development workflows using ROS1/ROS2 and programming via Python or C++
Manuals
Details

LINKERBOT Linker Hand L10 is a 10‑DoF dexterous robotic hand designed for integration into robotic arm platforms and research stacks.

Compatible with popular robotic arms, simulation environments, and CAN/RS485 control for streamlined integration and testing.


Operational examples include precise finger coordination for grasping, pressing, and handling everyday tools in automation workflows.
