• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.689-699
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• 2013

There are four methods such as 1:1, 1:N, N:1, and N:N in the tele-operating system for control the remote side robot. The operator must know the information of surroundings of the robot, collision possibility of the mobil equipment, and force feedback of the manipulator. The time delay problem occurs in the tele-operating and it causes vibration and expressive power of the manipulator owing to bidirectional force feedback. N:N control technique having been developed lately has a switching algorithm for the operator to select the target robot or it's partial equipment. When multi-operators work together to accomplish a task with multi-robots, the switching facility must be offered. And the automatic tuning skill to generalize the operator's tendency is needed also. We describes the methodologies and skills for developing a haptic-based tele-operating environments to makes it possible to control the remote multi-robots with multi-operators in this paper.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1991.11a
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• pp.155-159
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• 1991

This paper is a study on the Inverse dynamics of a one-1ink flexible robot arm which is control led by the transiational base motion. The system is composed of the flexible arm, the mobil stage, a DC servomotor, and a computer. The arm base is shifted so that the tip follows a desired path function. The tip Rotten is measured by the laser displacement sensor. The governing equations are based on the Bernoullie-Euler beam theory and solved by applying the Laplace transform method and then the numerical inversion method to the resulted equations. Tip responses obtained both theoretically and experimentally are in good agreement with the desired trajectory, which shows that the scheme of inverse dynamics is effective for the open-loop endpoint positioning of the flexible am driven by the translation stage.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2362-2364
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• 2004

최근 여러 가지 자동화 서비스를 제공하기 위하여 이동로봇이 스스로 장애들을 감지하여 회피하고 이동경로를 생성할 수 있는 능력을 필요로 하고 있다. 이동 경로상에 장애물을 회피하는 방법에는 여러 가지가 있으나, 본 논문에서는 이동 경로상에 존재할 수 있는 장애들과의 충돌을 회피하여 원하는 목적지에 도달하는 방법에 대하여 연구하였다. 이를 위해 포텐셜 함수방법을 사용하여 장애물과 목표점에 인공적인 포텐셜을 부여하여 이를 실시간 충돌 회피 문제에 적용해 보았다.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.299-304
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• 2012

First broadcasted in 1979's and until today very popular in the Original title video content Mobil Suit GUNDAM, it has difference to existing other two-way race other robot animation. According to director Tomino Yoshiyuki animation Gundam has an elements of drama. It's explain imply all untruth reality contents. The content of Japanese animation, GUNDAM beyond its wide range of industries around the world, further developed and expanded, and further is referred to as GUNDAM culture. Academic culture in terms of the five elements that make up culture (technology, values, social relations, language, and material) around the content analysis of GUNDAM. As a result, the five cultures of each of the elements that conflict with sufficient information and are believed to be worth.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.3
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• pp.27-38
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• 2000

This paper proposes how the recurrent neural network controller for a Khepera mobile robot with an obstacle avoiding ability can be determined by co-adaptation of the evolution and learning, The proposed co-adaptation scheme consists of two folds： a population of NN controllers are evolved by the genetic algorithm so that the degree of obstacle avoidance might be reduced through the global searching and each NN controller is trained by CRBP learning so that the running behavior is adapted to its outer environment through the local searching. Experimental results shows that the NN controller coadapted by evolution and learning outperforms its non-learning equivalent evolved by only genetic algorithm in both the ability of obstacle avoidance and the convergence speed reaching to the required running behavior.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.8
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• pp.1503-1517
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• 1994

Intelligent Motion Planning System(IMPS) is presented for a robot to achieve an efficient path toward the given target point in two dimensional unknown environment is constructed with unrestricted obstacle shapes. IMPS consists of three components for making intelligent motion. These components are real-time motion planning algorithm based on a discontinous boundary method, fuzzy neural network decision system for heuristic knowledge representation, and world modeling with forgetting and reinforcing memory cells. First of all, in real-time motion planning algorithm, the behavior-based architectural method is used to generate subgoal. A behavior generates a subgoal independently by using the method of discontinuous boundary in sensed area. The discontinuous boundary method is a new proposed fast obstacle avoidance algorithm. The second component is fuzzy neural network decision system for accomplishing the subgoal. The heuristic rules are imbedded on the fuzzy neural network to make an intelligent decision. The last one is a forgetting, reinforcing memory technique for the construction of external world map. The activation values of all activated memory cells in grid space are decreased monotonically and after all they are burned out. Therefore, after sufficient journey, robot can have a stationary world map even if the dynaic obstacles exist. Using the IMPS, several simulations show the efficient achievement of target point in unknown enviroment with obstcles of various shapes.