Two hands, two paths. Linker Hand O6 puts a precise end effector on a robot arm. Jingling GI-S01 lets an upper-limb amputee hold everyday life again. Both are built on the same technical foundation.
One foundation, two purposes
The hard part is identical in both cases: packing enough degrees of freedom and enough force into a small volume, and still controlling it precisely. The only difference is what the hand connects to — a robot arm, or a person's nerve signal.
Industry & research
Mounted on a collaborative arm or a humanoid, it replaces manual work in grasping, assembly and irregular-object handling. Open ROS / ROS2 / Python SDKs mean it drops into an existing control stack.
Medical & rehabilitation
Electrodes pick up myoelectric signals from the residual limb, the controller reads the intended movement, and the fingers close or pinch accordingly. Haptic vibration tells the wearer what the hand is doing without looking at it.
Linker Hand O6 · Robotic hand
An in-house high-torque servo module paired with worm-gear transmission produces more grip force without giving up rigidity, while a hybrid force-position control algorithm holds repeatability at ±0.20 mm. At 370 g it mounts on collaborative arms, service robots and humanoids.
Typical use: logistics handling · industrial assembly · irregular-object grasping · research validation · humanoid end effector
Jingling bionic hand · GI-S01
Electrodes sit on the residual muscles. When the user intends to close or open the hand, the controller decodes that signal and drives the fingers to grasp or pinch. A vibration module reports the state back — so the wearer knows the object is still held without looking at it.
Everyday use: eating and drinking · picking up objects · dressing · opening doors and drawers · holding a phone
Research background / WHO WE WORK WITH
Hefei Jingling Zhikang Technology was founded in September 2025 at Zhong'an Chuanggu, Hefei High-Tech Zone, as a controlled subsidiary of Linkerbot (Beijing). Its work runs on two tracks: intelligent prosthetics for medical rehabilitation, and industrial dexterous-hand applications.
Academic backing
Chief scientist Chen Wenming is a researcher and PhD supervisor at Fudan University's Institute of Embodied Intelligence. The team covers human-like touch, biomechanics and exoskeleton systems end to end.
Cost structure
Drawing on Linkerbot's dexterous-hand technology and supply-chain optimisation, the unit cost is pressed to a fraction of the industry norm — which is what actually lowers the barrier to fitting.
Data loop
Field use feeds data collection, model training and effect validation back into the next version — the same loop that serves both the industrial hand and the prosthetic.
A robot arm end, a humanoid, a production cell — or a person's residual limb. Describe the setting and we will come back with selection, interfaces and budget.