Ankle Joint Drive

World's first 3-Joint Drive technology

This gait rehabilitation robot features an anthropomorphic joint structure—equipped with an Ankle Joint Drive system—that controls the hip, knee, and ankle joints of the lower limbs. The Ankle Joint Drive system addresses issues such as foot dragging, inadequate foot lifting, and landing instability, enabling highly precise gait training.

Dynamic Body Weight Support

This patented technology enhances patient safety during gait training by analyzing vertical movement in real time and responding in synchronization with the patient's gait; it optimizes gait patterns through elastic weight support that performs traction, sensing, and compensation functions.

Natural Gait Pattern Generator

Patient-specific gait pattern generation software

NGPG is an algorithm that automatically generates gait training patterns based on a patient's height, weight, thigh length, lower leg length, and shoe size.
Incorporating AI technology based on standard gait data, NGPG is a patented technology for the Walkbot system designed for patient-specific rehabilitation.

Impedance Control

Automatic resistance adjustment based on patient training

Impedance control facilitates natural gait in patients by using a Reaction Torque Observer (RTO) to detect the wearer's gait intentions—eliminating the need for conventional physical torque sensors—and automatically adjusting joint resistance accordingly.

AR

Active Augmented Reality Software

To boost the motivation of individuals undergoing gait training, the Walkbot has been equipped with various augmented reality software programs—such as travel, maze, and game simulations—thereby naturally increasing patient engagement in the training.

Motion Analysis

Interactive training through training analysis

During training, the system visualizes the patient's gait trajectory, joint angles, and ankle position via graphs and displays kinematic data in real-time to provide optimal solutions. Additionally, it allows for the review of patient-specific training progress over time, enabling the accumulation of macro-level metrics.