This technology features a structural combination of a cuff that accommodates the user's arm for upper limb rehabilitation and a multi-joint robot module that controls it. It physically guides wrist rotation through an arc-shaped guide rail and sliding bracket within the cuff. Based on the movement of the handle and sensor data from within the cuff, the motion controller calculates and regulates the robot's 6-degree-of-freedom assistive force.
Conventional technologies are limited to specific tasks such as assisting with meals and fail to account for individual physical characteristics. Furthermore, they lack the ability to detect independent wrist rotation along the longitudinal axis of the arm or provide force assistance, resulting in lower precision for rehabilitation training.
This technology incorporates a handle and motion sensor to detect wrist rotation, along with a sliding mechanism using an arc-shaped guide rail and rollers within the cuff. The motion controller identifies the user's intent to guide 6-degree-of-freedom movement via the multi-joint robot module and provides assistive force for wrist rotation through an electric motor. Applicable to rehabilitation training, gait assistance, and medical/welfare services, it improves the user's upper limb exercise experience by accounting for physical characteristics and arm positioning while providing comfortable force assistance.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for research on physical/cognitive interaction-based neuro-robot technology.
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