• Annual Conference of KIPS
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• 2014.11a
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• pp.1209-1210
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• 2014

본 논문에서는 건설현장에서 응용할 수 있는 각종 작업환경을 고려하여 작업자의 근력증강을 지원하는 로봇을 설계하고 3D 모형을 제시하고자 한다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1918-1919
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• 2011

상체 지원 외골격 로봇은 크게 인간의 근력을 보조하는 형태와 인간의 근력을 증강하는 형태가 있다. 여기서는 인간의 근력을 증강하는 외골격 로봇을 중심으로 기술하고자 한다. 이러한 외골격 로봇은 팔의 EMG (Electromyograph;근전도) 신호를 측정하는 방법보다는 손의 힘을 직접 감지하는 방법을 통한 팔꿈치와 어깨의 엑추에이터를 구동하는 방식을 취하는 경향이 있다. 본 논문에서도 후자의 방식을 이용하여 손에 작용하는 힘을 분석하여 외골격 로봇을 움직이는 방식을 취하였다. 손의 힘 중에서도 인간을 중심으로 볼 때 위방향과 전진방향의 힘을 분석하기 위하여 2개의 F/T(Force/Torque) 센서를 사용하였으며 팔을 벌리는 동작은 엑추에이터 없이 자유롭게 동작이 가능하도록 설계하였다. 이러한 위방향 및 전진방향 힘의 크기를 팔꿈치와 어깨의 엑추에이터의 동작으로 바꾸어 인간의 동작을 도울 수 있고 힘을 증폭할 수 있는 외골격 로봇을 설계 제작하였다. F/T 센서는 손의 힘을 전기적 신호로 바꾸어주는 로드셀로 이루어지며 손의 힘을 최대한 잘 반영하기 위한 구조를 고안하였다. F/T 센서의 전기신호는 증폭기를 거쳐서 잡음을 제거한 후에 A/D 변환하여 processor에서 처리되어진다.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.3
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• pp.309-315
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• 2015

This paper presents a lower-limb exoskeleton testbed and its control method. An exoskeleton is a wearable robotic system that can enhance wearer's muscle power or assist human's movements. Among a variety of its applications, especially for military purpose, a wearable robot can be very useful for carrying heavy loads during locomotion by augmenting soldiers' mobility and endurance. The locomotion test on a treadmill was performed up to maximum 4km/h walking speed wearing the lower-limb exoskeleton testbed with a 45kg backpack load.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.957-958
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.295-296
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• 2011

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.910-911
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• 2011

미래사회의 기술적 혁신을 이끌 것으로 생각되는 로봇산업에 대한 관심이 증대되고 있으며, 최근에 많은 기술 개발과 개선이 이루어지고 있다. 이러한 경향은 점차 확대될 것으로 예상되며 전기자동차와 유사한 신성장 동력으로 성장할 것이다. 그러나, 로봇의 핵심 부품인 모터와 같은 구동계는 타분야에 비하여 기술적 혁신 및 관심을 끌지 못하고 있다. 앞으로 로봇산업이 확대 성장하여 산업용 로봇에서 가정용 로봇으로 진화하고, 로봇의 기능적인 측면이 보행, 러닝, 점프 등의 고성능을 구현하기 위해서는 각종 관절을 구동하는 역할을 담당하는 모터 및 동력전달 알고리즘의 연구 개발이 더욱 활발히 이루어져야 할 것이다. 특히, 인간과 유사한 로봇을 구현하기 우하여 보다 Flat하고 가볍고 출력밀도가 높은 새로운 구동장치의 필요성이 증대될 것이다. 본 논문에서는 산업노동지원을 위한 착용식 근력증강 로봇에 적용하는 모터 개발을 목적으로 적합한 구동계 타입을 선정하고, 요구 성능을 만족하는 전동기를 전자계 해석을 통하여 설계하고, 시작품 제작 및 평가를 통하여 해석결과를 검증하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.6
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• pp.617-624
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• 2015

This paper describes the development of a wearable robot to assist the elbow muscle for use by elderly workers in aging societies. Various previously developed wearable robots have drawbacks in terms of their price, portability, and slow recognition of the wearer's intention. In this paper, emphasis is placed on the following features to minimize these drawbacks. The first feature is that an actuator is attached only at the elbow joint that withstands the highest moment during arm motion to reduce the weight, volume, and price of the robot and increase its practicality. The second is that operation of the wearable robot is divided into two modes, a tracking mode and a muscle strengthening mode, and the robot can automatically switch between these modes by analyzing the wearer's intention through the brachial muscle strength measuring device developed in this study. The assistive performance of the developed wearable robot is experimentally verified by motion tracking experiments without an external load and muscle strengthening experiments with an external load. During the muscle strengthening experiments, the power of the muscle of the upper arm is measured by a commercial electromyography (EMG) sensor. Motion tracking performance at a speed of $120^{\circ}/s$ and muscle assistance of over 60 % were obtained using our robot.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.7
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• pp.479-490
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• 2014

A lower extremity exoskeleton is a robot device that attaches to the lower limbs of the human body to augment or assist with the walking ability of the wearer. In order to improve the wearer's walking ability, the robot senses the wearer's walking locomotion and classifies it into a gait-phase state, after which it drives the appropriate robot motions for each state using its actuators. This paper presents a method by which the robot senses the wearer's locomotion along with a novel classification algorithm which classifies the sensed data as a gait-phase state. The robot determines its control mode using this gait-phase information. If erroneous information is delivered, the robot will fail to improve the walking ability or will bring some discomfort to the wearer. Therefore, it is necessary for the algorithm constantly to classify the correct gait-phase information. However, our device for sensing a human's locomotion has very sensitive characteristics sufficient for it to detect small movements. With only simple logic like a threshold-based classification, it is difficult to deliver the correct information continually. In order to overcome this and provide correct information in a timely manner, a probabilistic gait-phase classification algorithm is proposed. Experimental results demonstrate that the proposed algorithm offers excellent accuracy.

• Journal of the Korean Society for Precision Engineering
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• v.29 no.4
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• pp.433-440
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• 2012

Various studies to improve the physical abilities of the human have been steadily continued from the past to the present. Only recently such technology has been realized, and those are expected to replace or complement human beings in large part. In this paper, the current status of developed wearable robots is investigated and studies were conducted in order to apply the types of robots in industry spot. In order to apply wearable exoskeleton robot to industry which enhances human physical capability, driving range of the robot's degrees of freedom were selected by analyzing working motion, and augmentative exoskeleton structure design process is presented by analyzing require torque and power during selected working motion. At the end of this paper, the designed mock-up is introduced to validate the feasibility of designed robot.

• The Journal of Korea Robotics Society
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• v.12 no.2
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• pp.124-131
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• 2017

This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.