Linker Hand L10
About
About Linker Hand L10
Linker Hand L10 uses ten motorised joints and ten mechanically coupled joints across five fingers. Its linkage transmission allows each finger to be commanded independently while distal articulation follows the driven joints, producing pinch, enveloping and multi-finger grasps in a compact anthropomorphic package. The hand supports left- and right-side robot integration.
Fingertip sensors provide contact, proximity and three-dimensional force information, with optional vision and visual-tactile configurations for richer interaction data. CAN and EtherCAT connect the hand to a host controller, and LinkerBot supplies ROS, Qt and PyBullet examples for position control, tactile reads, gesture playback and imitation-learning experiments. The L10 remains a distinct lower-actuation configuration beside L20 and tendon-driven L30.
Capabilities
Source-backed capabilities
- Capability areas: Robotic grasping
- Workflows: Grasping, gesture work, object handling, robot-arm integration and embodied manipulation research.
- Operating environments: Humanoid robots, research arms, education platforms and manipulation labs needing compact end-effectors.
- Target markets: Robot builders, labs, education users and integrators comparing cost and capability across dexterous hand options.
- Deployment model: Commercial hand product in Linkerbot's broader dexterous-hand family.
- Robotic grasping
Claimed - 2024-12-23 - LinkerBot's Human-Dex stack records arm-and-hand teleoperation data, trains a HumanPlus imitation policy and evaluates the result on physical Linker Hand L10 hardware, including autonomous grasp execution.
Source - Dexterous manipulation
Claimed - 2024-12-23 - LinkerBot's Human-Dex stack records arm-and-hand teleoperation data, trains a HumanPlus imitation policy and evaluates the result on physical Linker Hand L10 hardware, including autonomous grasp execution.
Source - Remote and shared control
Claimed - 2024-12-23 - LinkerBot's Human-Dex stack records arm-and-hand teleoperation data, trains a HumanPlus imitation policy and evaluates the result on physical Linker Hand L10 hardware, including autonomous grasp execution.
Source
Research
- DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine
2026-10-12 - Research Publication - DexNinja combines limited real demonstrations, reconstructed food assets and differentiable cutting simulation to train tactile dexterous policies. Experiments study food slicing and transfer across two bimanual arm-and-hand configurations.
Source - UniDexTok: A Unified Dexterous Hand Tokenizer from Real Data
2026-06-09 - Research Publication - UniDexTok learns a shared semantic state representation from real data across heterogeneous dexterous hands, including LinkerHand L10 and L20. The paper reports sub-millimetre reconstruction and strong zero- and few-shot transfer to new hand embodiments.
Source
Context
Market context
Linker Hand L10 is a 10-DoF dexterous robotic hand for humanoids, robot arms and manipulation research.
- Target environment: Humanoid robots, research arms, education platforms and manipulation labs needing compact end-effectors.
- Workflow context: Grasping, gesture work, object handling, robot-arm integration and embodied manipulation research.
- Customer context: Robot builders, labs, education users and integrators comparing cost and capability across dexterous hand options.
- Deployment model: Commercial hand product in Linkerbot's broader dexterous-hand family.
- Commercial maturity: Commercially positioned product with official product-family material.
- Adoption constraints: Adoption depends on DoF needs, grip force, sensing, control interface, durability, price and mechanical integration.
- Market position: Accessible dexterous-hand lane below higher-DoF tactile hands and more complex humanoid end-effectors.
- Adjacent products: Linker Hand L20, Linker Hand L30, Inspire RH56DFX, DexRobot DexHand021 S
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