Uses muscle signals from the residual limb to control hand movements within milliseconds. Tactile feedback and adaptive grip control support more natural, independent use.
Uses muscle signals and gait sensors to detect movement intent and adjust hydraulic resistance. It is designed to support stable walking in different conditions.
Combines biosignal sensing and interactive training software to create personalized rehabilitation plans for postoperative recovery and residual-limb muscle training. It can also be used with a prosthesis during rehabilitation.
A robotic hand for precise sorting, delicate assembly and service-robot tasks. Force and touch sensors allow it to adjust grip automatically and handle objects more safely.
A robotic knee module with inertial motion sensing and adaptive resistance control. It supports walking, slopes, squatting and load-bearing tasks in humanoid robots.
A robotic elbow module with adaptive force control, multiple degrees of freedom and torque-and-position feedback. It supports wide-angle bending, impact protection and load-bearing tasks for collaborative and service robots.