Skip to product information
1 of 10

LINKERBOT

LINKERBOT Linker Hand L10 10-DoF Dexterous Robotic Hand Gripper, CAN/RS485, 25kg Load

LINKERBOT Linker Hand L10 10-DoF Dexterous Robotic Hand Gripper, CAN/RS485, 25kg Load

Regular price $4,803.80 USD
Regular price Sale price $4,803.80 USD
Sale Sold out
Shipping calculated at checkout.
Version
Communication Interface
View full details

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.
  • 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