• Title/Summary/Keyword: 재활로봇

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족압 감지/분석 센서시스템 기술동향

  • Heo, Geun-Seop;Lee, Chun-Yeong
    • ICROS
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    • v.17 no.1
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    • pp.25-30
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    • 2011
  • 착용형 재활 로봇, 스마트 보철기구, 일상생활 동작 모니터링 등 다양한 분야에서 응용되는 보행 패턴의 감지와 분석을 위한 센서 시스템을 On-Shoe 타입, Off-Shoe 타입, 보행 인식 상업용 시스템으로 구분하여 동향을 살펴본다.

Development of a 3-D Rehabilitation Robot System for Upper Extremities (상지 재활을 위한 3-D 로봇 시스템의 개발)

  • Shin, Kyu-Hyeon;Lee, Soo-Han
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.4
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    • pp.64-71
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    • 2009
  • A 3-D rehabilitation robot system is developed in this paper. The robot system is for the rehabilitation of upper extremities, especially the shoulder and elbow joints, and has 3-D workspace for enabling occupational therapy to recover physical functions in activities of daily living(ADL). The rehabilitation robot system, which is driven by actuators, has 1 DOF in horizontal rotational motion and 2 DOF in vertical rotational motion, where all actuators are set on the ground. Parallelogram linkage mechanisms lower the equivalent inertia of the control elements as well as control forces. Also the mechanisms have high mechanical rigidity for the end effector and the handle. Passive motion mode experiments have been performed to evaluate the proposed robot system. The results of the experiments show and excellent performance in simulating spasticity of patients.

Design of a Six-axis Force/moment Sensor for Wrist Twist-exercise Rehabilitation Robot (손목회전운동 재활로봇을 위한 6축 힘/모멘트센서 설계)

  • Kim, Hyeon Min;Kim, Gab Soon
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.5
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    • pp.529-536
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    • 2013
  • Most serious stroke patients have the paralysis on their wrists, and can't use their hands freely. But their wrists can be recovered by rehabilitation exercises. Recently, professional rehabilitation therapeutists help stroke patients exercise their wrists in hospital. But it is difficult for them to rehabilitate their wrists, because the therapeutists are much less than stroke patients in number. Therefore, the wrist twist-exercise rehabilitation robot that can measure the twist force of the patients' wrists is needed and developed. In this paper, the six-axis force/moment sensor was designed appropriately for the robot. As a test result, the interference error of the six-axis force/moment sensor was less than 0.85%. It is thought that the sensor can be used to measure the wrist twist force of the patient.

Sensorless Force Control with Observer for Multi-functional Upper Limb Rehabilitation Robot (다기능 재활운동을 위한 힘 센서가 없는 상지 재활 로봇의 힘 제어)

  • Choi, Jung Hyun;Oh, Sehoon;An, Jinung
    • The Journal of Korea Robotics Society
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    • v.12 no.3
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    • pp.356-364
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    • 2017
  • This paper presents a force control based on the observer without taking any force or torque measurement from the robot which allows realizing more stable and robust human robot interaction for the developed multi-functional upper limb rehabilitation robot. The robot has four functional training modes which can be classified by the human robot interaction types: passive, active, assistive, and resistive mode. The proposed observer consists of internal disturbance observer and external force observer for distinctive performance evaluation. Since four training modes can be quantitatively identified as impedance variation, position-based impedance control with feedback and feedforward controller was applied to the assistive training mode. The results showed that the proposed sensorless observer estimated cleaner and more accurate force compared to the force sensor and the impedance controller embedded with the proposed observer completed the assistive training mode safely and properly.

Design of an Elbow Rehabilitation Robot based on Force Measurement and its Force Control (힘측정기반 팔꿈치 재활로봇 설계 및 힘제어)

  • Kim, Han-Sol;Kim, Gab-Soon
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.5
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    • pp.413-420
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    • 2015
  • This paper describes the design of an elbow rehabilitation robot based on force measurement that enables a severe stroke patient confined to their bed to receive elbow rehabilitation exercises. The developed elbow rehabilitation robot was providewitha two-axis force/torque sensor which can detect force Fz and torque Tz, thereby allowing it to measure therotational force (Tz) exerted on the elbow and the signal force Fz which can be used as a safety device. The robot was designed and manufactured for severe stroke patients confined to bed, and the robot program was manufactured to perform flexibility elbow rehabilitation exercises. Asa result of the characteristics test of the developed rehabilitation robot, the device was safely operated while the elbow rehabilitation exercises were performed. Therefore, it is thought that the developed rehabilitation robot can be used for severe stroke patients.

Development of an Intelligent Legged Walking Rehabilitation Robot (지능적 족형 보행 재활 보조 로봇의 개발)

  • Kim, Hyun;Kim, Jung-Yup
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.9
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    • pp.825-837
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    • 2017
  • This paper describes a novel type of a walking rehabilitation robot that applies robot technologies to crutches used by patients with walking difficulties in the lower body. The primary features of the developed robot are divided into three parts. First, the developed robot is worn on the patient's chest, as opposed to the conventional elbow crutch that is attached to the forearm; hence, it can effectively disperse the patient's weight throughout the width of the chest, and eliminate the concentrated load at the elbow. Furthermore, it allows free arm motion during walking. Second, the developed robot can recognize the walking intention of the patient from the magnitude and direction of the ground reactive forces. This is done using three-axis force sensors attached to the feet of the robot. Third, the robot can perform a stair walking function, which can change vertical movement trajectories in order to step up and down a single stair according to the floor height. Consequently, we experimentally showed that the developed robot can effectively perform walking rehabilitation assistance by perceiving the walking intention of the patient. Moreover we quantitatively verified muscle power assistance by measuring the electromyography (EMG) signals of the muscles of the lower limb.

Design and Implementation of Motor-Based Rehabilitation Wearable Robot Hand System using 3D Printing (3D 프린팅을 활용한 전동식 재활용 웨어러블 로봇 손 시스템의 설계 및 구현)

  • Kim, Hyeon-Jun;Kim, Jung-Hyun;Baek, Soo-Whang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.941-946
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    • 2021
  • This paper is a study on the design and implementation of a rehabilitation wearable robotic hand that reduces weight and volume by using a 3D printer and a motor. Rehabilitation wearable robots are important not only for the effect of rehabilitation but also for ease of use. However, most of the currently researched and developed rehabilitation exoskeleton robots are heavy in volume and weight, or they have to be used in place. Therefore, a wearable robot that is easy to wear and does not burden the user is required, so a lightweight electric rehabilitation wearable robot hand is proposed. A 3D printer was used to reduce the weight and volume and to make it easier to wear. In addition, to increase portability, the structure was simplified by adopting an electric method rather than a pneumatic method. Finally, the effectiveness was examined through the experiment of the lightweight electric rehabilitation wearable robot hand.

Development of Body-Weight-Support System for Walking Rehabilitation (보행 재활을 위한 신체 자중 보상용 모바일 로봇에 관한 연구)

  • Suh, Seung-Whan;Yu, Seung-Nam;Lee, Sang-Ho;Han, Chang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3658-3665
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    • 2010
  • As the population of elderly people and disabled people are increased, various demands for human welfare using robot system are raised. Especially autonomous rehabilitation system using robot could reduce the human effort while maintaining the its intrinsic efficacy. This study deals with mobile gait rehabilitation system which combined with BWS (Body Weight Support) for training of elderly and handicapped people who suffer the muscle force weakness of lower extremity. BWS which is designed by kinematic analysis of body lifting characteristics and walking guide system are integrated with main control system and wheeled platform. This mobile platform is operated by UCS (User Command System) and autonomous trajectory planning algorithm. Finally, through the EMG (Electromyography) signal measuring and its analysis for subject, performance and feasibility of developed system is verified.