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Upstairs Walking of a Biped Robot Using Genetic Algorithm (유전 알고리듬을 이용한 이족 보행로봇의 계단 오르기 수행)

  • Kim, Eun-Su;Kim, Tae-Gyu;Kim, Jong-Wook
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1059-1060
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    • 2008
  • In this paper, using a genetic algorithm, consisting of six to seven degrees of freedom links, walking robot to up-stair that can walk to optimize energy and stability to generate. Walking robot to up-stairs of the four-step segmentation of the various situations that match the pace and pattern so that it can generate. It also generated using genetic algorithms to test for Matlab into the Robot Simulation of the humanoid experiment was used.

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A mobile robot for going over obstacles in nuclear facilities (원전시설용 이동로보트의 장애물 승월에 관한 연구)

  • 김병수;김창희;김승호;이종민
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.166-171
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    • 1989
  • In the view of the fact that mobile robot in nuclear facilities should be able to turn in narrow space, go over obstacles, and climb stairs for the inspection and maintenance, a robot, named as KAEROT, is developed. It adopts 2DWIS (2-Driving Wheels, 1-Steering) and has three planetary wheels that are composed of two star-like arms and three small wheels. The experiments were carried out in two locomotion methods; (1) by controlling the rear wheel speed as a function of steering angle, and (2) by using inclination and stair-detection sensor to control the position of planetary and small wheel. The developed robot moved on the floor with stability. Results from the experiment on the rectangular obstacle as well as the computer simulation showed a feasibility on the stairs.

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Swarm-bot Manufacture and System Control (스웜봇의 제작 및 시스템 제어)

  • Jeong, Su-Yeon;Lee, Seung-Won;Park, Jae-Sun;Kim, Dong-Hwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.2
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    • pp.163-172
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    • 2007
  • A swarm-bot docking with two independent robots aiming at overcoming obstacles or climbing up/down stairs is introduced how it can be manufactured and controlled. Utilizing the fast mobility of the vehicle robot and cooperating between robots expands the applications of the robot. An algorithm for identifying the partner robot and its generic mechanism enabling the docking of two robots are addressed. The designed swarm-bot has advantages in terms of overcoming obstacle or stair climbing which is not easily implemented by a single robot, increasing the adaptability to the environment.

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.

A Study on Energy Efficiency in Walking and Stair Climbing for Elderly Wearing Complex Muscle Support System

  • Jang-hoon Shin;Hye-Kang Park;Joonyoung Jung;Dong-Woo Lee;Hyung Cheol Shin;Hwang-Jae Lee;Wan-Hee Lee
    • Physical Therapy Rehabilitation Science
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    • v.11 no.4
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    • pp.478-487
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    • 2022
  • Objective: This study was conducted to analyze the effect of wearable complex muscle support system on energy efficiency during walking in elderly. Design: Cross sectional study Methods: Twenty healthy elderly participated in this study. All subjects performed a 6 minuteswalk test(6MWT) and stair climbing test in dual, slack and no suit conditions. In each condition, oxygen consumption(VO2), metabolic equivalents(METs), energy expenditure measures(EEm), physiological cost index(PCI), walking velocity and heartrate were measured. Through repeated measured ANOVA, it was investigated whether there was a statistically significant difference in the measurement results between the three conditions. Results: In over-ground walking, VO2, METs and EEm showed significant differences between no suit and slack conditions(p<0.05). In stair climbing, VO2 showed significant difference between slack and dual conditions(p<0.05). Also, METs and EEm showed significant differences between no suit and slack, and between slack and dual conditions(p<0.05). Conclusions: Wearing the wearable complex muscle support system for elderly does not have much benefit in energy metabolism efficiency in over-ground, but there is a benefit in stair walking.

Clinical Feasibility of Wearable Robot Orthosis on Gait and Balance Ability for Stroke Rehabilitation: A Case Study

  • Shin, Young-Il;Yang, Seong-Hwa;Kim, Jin-Young
    • The Journal of Korean Physical Therapy
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    • v.27 no.2
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    • pp.124-127
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    • 2015
  • Purpose: The emphasis on gait rehabilitation after stroke depends on training support through the lower limbs, balance of body mass over the changing base of support. However, muscle weakness, lack of control of lower limb, and poor balance can interfere with training after stroke. For this case study report, a wearable robot orthosis was applied to stroke patients in order to verify its actual applicability on balance and gait ability in the clinical field. Methods: Two stroke patients participated in the training using the wearable robot orthosis. Wearable robot orthosis provides patient-initiated active assistance contraction during training. Training includes weight shift training, standing up and sitting down, ground walking, and stair up and down Training was applied a total of 20 times, five times a week for 4 weeks, for 30 minutes a day. Gait ability was determined by Stance phase symmetry profile, Swing phase symmetry profile, and velocity using the GAITRite system. Balance ability was measured using the Biodex balance system. Results: Subjects 1, 2 showed improved gait and balance ability with mean individual improvement of 72.4% for velocity, 19.4% for stance phase symmetry profile, 9.6% for swing phase symmetry profile, and 13.6% for balance ability. Conclusion: Training utilizing a wearable robot orthosis can be useful for improvement of the gait and balance ability of stroke patients.

Design of a stable stair-moving robot using wheel deformation and sensors (바퀴변형과 센서를 이용한 안정적 계단이동 로봇의 설계)

  • Park, Sung-Hyun;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.611-614
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    • 2020
  • 본 논문은 안정적으로 계단을 주행하는 로봇에 관한 연구로 바퀴변형 시스템의 설계 방법을 제시하고, 기존의 계단극복 로봇의 문제점 중 하나인 계단 주행 시 발생하는 추락을 IMU센서와 서보모터를 이용한 방지법과 아날로그 IR센서를 통한 간단하고 빠르게 계단을 감지하는 방법을 제시한다.

A Basic Study of Hexapod Walking Robot (6족 보행로봇에 관한 기초연구)

  • Kang, D.H.;Min, Y.B.;Iida, M.;Umeda, M.
    • Journal of Biosystems Engineering
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    • v.32 no.5
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    • pp.339-347
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    • 2007
  • A hexapod walking robot had been developed for gathering information in the field. The developed robot was $260{\times}260{\times}130$ ($W{\times}L{\times}H$, mm) in size and 14.7 N in weight. The legs had nineteen degrees of freedom. A leg has three rotational joints actuated by small servomotors. Two servomotors placed at ankle and knee played the roles of vertical joint for up and down motions of the leg and the other one placed at coxa played the role of horizontal joint for forward and backward motions. In addition, a servomotor placed at thorax between the front legs and the middle legs played the role of vertical joint for pumping the two front legs to climb stair or inclination. Walking motion of the robot was executed by tripod gait. The robot was controlled by manual remote-controller communicated by an infrared ray. Two controllers were equipped to control the walking of the robot. The sub-controller using PIC microcomputer (Microchips, PIC16F84A) received the 16 bit command signal from the manual remote controller, decoded it to 8bit and transmitted it to the main microcomputer (RENESAS, SH2/7045), which controlled the 19 servomotors using the PWM command signals. Walking speeds were controlled by adjusting the period of command cycle and the stride. Forward walking speed were within 100 cm/min to 300 cm/min. However, experimental walking speed had the error of 4-40 cm/min to compare with the theoretical one, because of slippage of the leg and the circular arc motion of servomotor of coxa.

Static Analysis and Experimentation on Obstacle-overcoming for a Novel Field Robotic Platform using Flip Motion (Flip 모션을 이용한 신개념 필드 로봇 플랫폼의 큰 장애물 등반 정적 해석 및 실험)

  • Seo, ByungHoon;Shin, Myeongseok;Jeong, Kyungmin;Seo, TaeWon
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.10
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    • pp.1067-1072
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    • 2014
  • The ability to overcome obstacles is necessary for field robots for various applications including the ability to climb stairs. While much research has been performed focusing on overcoming obstacles, the resulting robots do not have sufficient ability to overcome obstacles such as stairs. In this research, the purpose is to overcome relatively large obstacles by flipping locomotion through the modification of the stair climbing robotic platform of the previous research. We propose two scenarios to overcome large obstacles: a rear wheel driving system and an elevation system using a ball screw. The research is performed based on static analyses on obstacle-climbing. As the simulation results indicate, we determined the optimal posture of the robot for climbing obstacles for rear wheel driving. Also, an elevation system is analyzed for obstacle climbing. Between the two scenarios an elevation system is determined to reduce the operating torque of the actuator, and the prototype was recently assembled. The climbing ability of the robotic platform is verified. We expect the application area for this robotic platform will be in accident areas of nuclear power plants.