• The Journal of Korean Physical Therapy
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• 제14권4호
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• pp.131-146
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• 2002

In the last years, it has become possible to regain some locomotor activity in patients with incomplete spinal cord injury (SCI) through intense training on a treadmill. The ideas behind this approach owe much to insights derived from animal studies. Many studies showed that cats with complete spinal cord transection(spinalized animals) can recover locomotor function. These observations were at the basis of the concept of the central pattern generator located at spinal level. The neural system responsible for the locomotor restoration in both cats and humans is thought to be located at spinal level and is referred to as the central pattern generator(CPG). The evidence for such a spinal CPG in human is emphasis on some recent developments which support the view that there is a human spinal CPG for locomotion. An important element in afferent inputs for both spinal injured cats and humans is the provision of adequate sensory input related locomotor, which can possibly activate and/or regulate the spinal locomotor circuitry This review article deals with the afferent control of the central pattern generator. Furthermore, the application of adequate afferent inputs related locomotor for stroke patients will be able to facilitate locomotion ability, which is automatic, cyclic, rhythmic. These insights can possibly contribute to a better therapeutic approach for the rehabilitation of gait in patients with stroke.

• 한국지능시스템학회논문지
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• 제19권6호
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• pp.749-754
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• 2009

4족 보행로봇의 빠른 걸음새를 자동으로 생성하는 문제에 대해서 GP(Genetic Programming)와 CPG(Central Pattern Generator) 기반의 두 가지 방식을 비교한다. GP(Genetic Programming)를 이용한 관절좌표계 상에서의 걸음새 생성 기법은 발끝의 자취와 수 많은 자세 파라미터를 사용하는 대신에 적은수의 관절 궤적을 생성하므로 효율적이다. CPG는 뇌로부터의 입력을 받아서 진동적인 출력을 생성하는 신경회로로 고등생물의 걸음 원리를 수학적으로 모델링한 것이다. 바이올로이드로 구성된 4족 보행로봇에 대하여 Webots기반의 ODE 시뮬레이션을 통해 접근 기법들에 대한 최적화를 수행하고 결과를 비교 분석한다. 그리고, 구해진 시뮬레이션과 결과를 실제 로봇에 대해서 각 동작을 실행시켜 보면서 CPG와 GP 기반의 걸음새 방식의 실제적인 성능 및 특성을 고찰한다.

• 전기학회논문지
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• 제65권9호
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• pp.1551-1556
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• 2016

A combined CPG (Central Pattern Generator) based foot trajectory and GP (Genetic Programming) based joint compensation method is presented for the adaptive humanoid walking. The CPG based foot trajectory methods have been successfully applied to basic slops and variable slops with slow rates, but have a limitation for the steep slop terrains. In order to increase an adaptability of humanoid walking for the rough terrains, a GP based joint compensation method is proposed and combined to the CPG (Central Pattern Generator) based foot trajectory method. The experiments using humanoid robot Nao are conducted in an ODE based Webots simulation environmemt to verify a stability of walking for the various aslope terrains. The proposed method is compared to the previous CPG foot trajectory technique and shows better performances especially for the steep varied slopes.

• 한국지능시스템학회논문지
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• 제23권4호
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• pp.360-365
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• 2013

본 연구에서는 발끝 궤적을 미리 설계하지 않고, CPG(Central Pattern Generator)를 이용하여 동적으로 생성할 수 있는 기법을 제안한다. 생성된 발끝 궤적은 CPG 의 진동적인 출력에 따라 가변적인데, 이는 발끝 궤적이 CPG 진동적인 출력 신호의 맵핑 함수로 주어지기 때문이다. 이를 통해 환경에 적응적인 궤적을 생성할 수 있는 토대를 마련할 수 있다. 제안된 기법의 효율성을 검증하기 위해서, Webots 시뮬레이션을 통해 휴머노이드 로봇 Nao에 대한 실험을 수행하고, 성능과 동작 특성을 분석한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.1625-1626
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• 2013

• 전기학회논문지
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• 제67권5호
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• pp.663-668
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• 2018

A combined CPG (Central Pattern Generator) based foot trajectory and GA (Genetic Algorithm) based joint compensation method is presented for adaptive humanoid walking. In order to increase an adaptability of humanoid walking for rough terrains, the experiment for rolling terrains are introduced. The CPG based foot trajectory method has been successfully applied to basic slops and variable slops, but has a limitation for the rolling terrains. The experiments are conducted in an ODE based Webots simulation environment using humanoid robot Nao to verify a stability of walking for various rolling terrains. The proposed method is compared to the previous CPG foot trajectory technique and shows better performance especially for the cascade rolling terrains.

• Journal of Electrical Engineering and Technology
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• 제10권6호
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• pp.2420-2426
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• 2015

This paper proposes an evolutionary optimization approach for optimal hopping of humanoid robots. In the proposed approach, the hopping trajectory is generated by a central pattern generator (CPG). The CPG is one of the biologically inspired approaches, and it generates rhythmic signals by using neural oscillators. During the hopping motion, the disturbance caused by the ground reaction forces is compensated for by utilizing the sensory feedback in the CPG. Posture control is essential for a stable hopping motion. A posture controller is utilized to maintain the balance of the humanoid robot while hopping. In addition, a compliance controller using a virtual spring-damper model is applied for stable landing. For optimal hopping, the optimization of the hopping motion is formulated as a minimization problem with equality constraints. To solve this problem, two-phase evolutionary programming is employed. The proposed approach is verified through computer simulations using a simulated model of the small-sized humanoid robot platform DARwIn-OP.

• The Journal of Korean Physical Therapy
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• 제17권1호
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• pp.108-122
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• 2005

The gait training strategy in very important things for central nervous system(CNS) injury patients. There are many method and strategy for regaining of the gait who had CNS injury. A human being has central pattern generator(CPG) is spinal CPG for locomotion. It is a neural network which make the cyclical patterns and rhythmical activities for walking. Sensory input from loading and hip position is essential for CPG stimulation that makes the central neural rhythm and pattern generating structure. From sensory input, the proprioceptive information facilitate proximal muscles that controlled in voluntarily from cortical level and visual and / or acoustical information facilitate distal muscles that controlled voluntarily from subcortical level. Gait training method can classify that is functional level and structural level. Functional level includ level surface gait, going up and down the stair. It is important to facilitate a guide tempo in order to activate the central pattern generators. During the functional test or functional activities, can point out the poor period in gait that have to be facilitate in structural level. There are many access methods with patient position and potentiality. The methods are using of rhythmic initiation, replication and combination of isotonic with standing position. Clinically using it on weight transfer onto the stance leg, loading response, loading response and pre-swing, terminal stance, up and downwards stairs.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.297-298
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• 2011

• 한국정보통신학회논문지
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• 제21권6호
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• pp.1161-1166
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• 2017

최근 디스플레이 기술 발전과 함께 AMOLED(Active Matrix OLED) 패널(Panel)의 생산과 수요가 급증하고 있다. AMOLED 패널은 기본적으로 LCD와는 다르게 백라이트(Backlight)를 필요로 하지 않아 적은 소비전력으로 선명도 있는 영상의 출력이 가능하다. 따라서 세계적으로 AMOLED 시장이 커지고 있다. 이에 따라 생산에 필요한 검사 장치의 수요도 확산되고 있다. AMOLED 패널 에이징(Aging) 시스템의 검사 장치는 MES(Manufacturing Execution System), MIS(Management Information System)와 연동하여 운영되며, 네트워크 환경을 구축하는 것이 효율적이다. 패널 에이징에 사용되는 검사 장치는 다중 신호를 출력하는 기능을 가진 신호 생성기(Pattern Generator)이다. 다수개의 신호 생성기를 운영하기 위해서는 효율적인 설계가 필요하다. 이를 해결하기 위해 본 논문에서는 신호 생성기를 원격으로 통합 제어하기 위한 방법과 AMOLED 패널을 구동시키기 위한 방법을 제안하고 이를 구현하였으며, 이에 따른 타이밍과 전원 설정 결과를 제시하였다.