| Sumario: | Purpose With the rapid increase of the elderly, the demand for rehabilitation, disease prevention, and care services is increasing, and the need for caring robots is emerging to solve the problem of insufficient caring manpower. As a result of surveying 120 care workers, 63.8% of care workers lift and move patients every day, and as a result, 39.2% have musculoskeletal disorders. (Kyunghee University 2019). In this study, rehabilitation and care products were reviewed, and a "patient transport assistant robot" was developed to reduce the burden on the musculoskeletal system and provide safety and comfort to the patient, and the research results are presented. Method Dual arm assistant robot is designed to control with little force by applying counterbalance mechanism (CBM), called a passive gravity compensator (1,3). The smart sling was developed by applying the pneumatic growing mechanism, and it was possible to minimize the labor input of the caregivers by automating the sling insertion and retraction process while maintaining safety and comfort (2). Sensing and control technology is applied to enable intuitive control and two-degree-of-freedom electric driving and to prevent obstacle collisions. A small computer, Raspberry, was installed and Node-RED programming was used for system control and patient data base management. Results and Discussion In this study, rehabilitation and care products for the elderly were introduced and "patient transfer assistant robot" applying ICT technology was developed and the results were reviewed. As result proposed CBM-equipped mobile robot arm showed the torque reduction rates of 61~72% (1). The sling insertion time was 52.5(second), the robot's elevating time was 20 (seconds) and we checked it was improved data compared with present similar product. The research results of this R&D prototype reducing the physical burden of caregivers are presented by H.R. Shin (kyunghee univ).
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