• 전자통신동향분석
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• 제37권6호
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• pp.23-31
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• 2022

Mobile robot intelligence refers to planning the path of robots to move indoors and outdoors and establishing a physical action plan that can be driven safely and smoothly according to the surrounding environments' structures. This report introduces technical issues in mobile robot intelligence. Furthermore, we describe the latest mobile intelligence technology of four-legged walking, logistics, and agricultural robots. Finally, we discuss mobile robot intelligence research prospects and its potential for solving real-world problems.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.645-650
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• 2003

Legged robots can avoid an obstacle by crawling-over or striding, according to the obstacle’s nature and the current state of the robot. Thus, it can be observed that the mobility efficiency to reach a destination is improved by such action. Moreover, if robots have many legs like 4-legged or 6-legged types, then the robot movement range is affected by the order of swing leg. In this paper, the avoidance action of a quadruped robot is generated by a neural network (NN) whose inputs are information on the position of the destination, the obstacle configuration and the robot's self-state. To realize a free gait in static walking, the order of swing leg is determined using an another NN whose inputs are the amount of movements and the robot’s self-state. The design parameter of the latter NN is adjusted by using genetic algorithm (GA).

• 센서학회지
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• 제33권1호
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• pp.18-23
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• 2024

Humanoid robots, designed to interact in human environments, require stable mobility to ensure safety. When a humanoid robot falls, it causes damage, breakdown, and potential harm to the robot. Therefore, fall detection is critical to preventing the robot from falling. Prevention of falling of a humanoid robot requires an operator controlling a crane. For efficient and safe walking control experiments, a system that can replace a crane operator is needed. To replace such a crane operator, it is essential to detect the falling conditions of humanoid robots. In this study, we propose falling detection methods using Convolution Neural Network (CNN) model. The image data of a humanoid robot are collected from various angles and environments. A large amount of data is collected by dividing video data into frames per second, and data augmentation techniques are used. The effectiveness of the proposed CNN model is verified by the experiments with the humanoid robot MAX-E1.

• 한국산학기술학회논문지
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• 제21권5호
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• pp.337-343
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• 2020

지난 수십 년간, 소형 로봇 가운데 동물과 곤충을 모방한 생체모방 로봇은 인간이 신체적으로 접근할 수 없는 영역에서 특별한 임무를 위해 개발되어 왔다. 최근 들어, 사람의 접근이 제한되는 공간(예 : 고농축 방사능 보관지역, 바이러스 지역, 대테러 위험지역 등)이 늘어나면서 로봇의 활용범위가 더욱 다양해지고 있으며, 과거에는 사람만 가능했던 많은 행위들이 소형 로봇으로의 대체가 시도 되고 있다. 그 중에서도 보행 로봇의 최적 움직임은 이동하는 표면의 특성(예: 거칠기, 곡률, 경사, 재료 등)에 의해 결정될 수 있다. 본 연구에서는 소형 보행 로봇에 적용하기 위한 구조가 간단하고 효율적으로 구동 가능한 압전세라믹 벤더 엑츄에이터를 제안하였다. 유한요소 해석법을 활용한 동적 모델링을 통해 구동원의 형상을 최적화하여 로봇의 이동 성능을 극대화 하였고, 제작과 실험을 통하여 그 결과를 검증하였다. 제작된 엑츄에이터는 무부하 조건에서 최대속도 236mm/s로 이동 하였고, 5g의 부하를 적재하고 156mm/s의 속도로 이동 가능함을 확인 하였다. 제안된 다족형 액추에이터는 수행해야 할 임무와 요구 성능에 따라 모듈식으로 추가가 가능한 장점이 있다.

• 전기학회논문지
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• 제56권2호
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• pp.374-382
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• 2007

Robot mobility and intelligence become more important for robots to be used in various fields other than automation. The main purpose of providing mobility to a robot is to extend the robot's manipulability. In this paper, we introduce a small humanoid robot that can autonomously play golf as an example of incorporating robot intelligence, mobility, and manipulability. The robot has 12 degrees of freedom for legs and has various basic walking patterns. It can move to a desired position and change orientation by combining the basic waking patterns. The robot has a color CCD camera and can extract coordinates of the objects in the environments. The small humanoid robot has 8 degrees of freedom for arms and can play golf autonomously with two kinds of dexterous swing motions. Kinematic analysis of the robot arms, vision data processing for the recognition of the environments, algorithm for playing robotic golf have been performed or proposed. The experimental results show that the robot can play golf autonomously.

• 한국기계가공학회지
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• 제18권12호
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• pp.111-116
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• 2019

With the recent acceleration of industrial technologies and active research, wearable robot technologies have been applied to various fields. To study the utility of wearable robots, basic research on kinetic mechanisms of the human body, bio-signal analysis, and system control are essential. In this study, we investigated the basic structure of a wearable system and the operating principles of a driving mechanism. The control system and supporting structure, which comprise the driving mechanism, were designed and manufactured. Motion and load analyses were performed simultaneously for the design of the kinematic drive, and the driving mechanism was constructed by analyzing walking motion. The operating conditions of the cylinder were verified by stride via driving experiments. Further, the accuracy and responsiveness of the system were confirmed by comparison with actual motion, and the system safety was validated by applying loads.

• 한국지능시스템학회논문지
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• 제14권5호
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• pp.610-616
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• 2004

생체 공학이나 신경생리학, 로봇공학에서는 인간의 2족 보행 메커니즘을 알아내는 것이 중요한 연구과제이며 그에 대한 연구 성과는 재활도구나 컴퓨터 애니메이션 및 인간형 로봇과 같은 다양한 응용분야에 있어서의 기초 기술로서 제공되어질 것을 기대하고 있다. 반면에 인간의 2보행 운동은 신경계와 역학계에 의한 복잡한 상호작용으로, 그 실현 메커니즘에 있어 신경계의 구체적인 제어방법에 관해서는 그 복잡성 때문에 아직 많은 부분이 불명확하게 남겨져 있다. 따라서 전문가에 의한, 매번 시행착오를 통해 신경계의 상세한 설계를 할 필요가 있다. 이 논문은 유전자 프로그래밍을 이용하여 신경계의 구조와 Parameter를 자동적으로 최적화하는 모델을 제안하고 시뮬레이션을 통해 타당성을 확인하였다.

• International Journal of Ocean System Engineering
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• 제1권4호
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• pp.222-229
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• 2011

In this paper, we present the concept and main mission of the Crabster, an underwater walking robot. The main focus is on the modeling of drag and lift forces on the legs of the robot, which comprise the main difference in dynamic characteristics between on-land and underwater robots. Drag and lift forces acting on the underwater link are described as a function of the relative velocity of the link with respect to the fluid using the strip theory. Using the translational velocity of the link as the rotational velocity of the joint, we describe the drag force as a function of joint variables. Generalized drag torque is successfully derived from the drag force as a function of generalized variables and its first derivative, even though the arm has a roll joint and twist angles between the joints. To verify the proposed model, we conducted drag torque simulations using a simple Selective Compliant Articulated Robot Arm.

• 제어로봇시스템학회논문지
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• 제14권3호
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• pp.236-241
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• 2008

This paper presents a method to recognize the plane regions for movement of walking robots. When the autonomous agencies using stereo camera or laser scanning sensor is under unknown 3D environment, the mobile agency has to detect the plane regions to decide the moving direction and perform the given tasks. In this paper, we propose a very fast method for plane detection using normal vector of a triangle by 3 vertices defined on a small circular region. To reduce the effect of noises and outliers, the triangle rotates with respect to the center position of the circular region and generates a series of triangles with different normal vectors based on different three points on the boundary of the circular region. The vectors for several triangles are normalized and then median direction of the normal vectors is used to test the planarity of the circular region. The method is very fast and we prove the performance of algorithm for real range data obtained from a stereo camera system.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.707-711
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• 1999

In this paper, an algorithm of fault tolerant gaits for a quadruped robot is proposed for the purpose of tolerating a locked joint failure. The robot can continue its walking after a locked failure occurs to a joint of a leg by the proposed algorithm. In particular, a periodic gait is proposed as a special form of the proposed algorithm and its existence and efficiency are analytically proven.