• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.281-282
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• 2007

• The Science & Technology
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• no.6 s.409
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• pp.18-21
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• 2003

삼성, LG, 하이닉스, 세계 150대 기업 진입/ 앞서가는 일본의 나노기술제품/ 사스로 다진 세계보건협력체계/ 록키드, 폴란드에 75억달러 지원/ 캐나다, 대규모 단백질연구 착수/ 대형 암 연구소 건설계획/ 장거리 로봇 경주에 100만 달러 상금/ 빨간 머리 여성은 약발이 좋다/ TV오래보면 뚱보된다/ 러시아 결핵퇴치에 1억달러 차관

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.285-286
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.447-448
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.583-584
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.913-917
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• 1994

A collision-free geometric path for industrial articulated robot is searched among polyhedral obstacles considering kinematic charcteristics. Then minimum-time control of the geometric path is studied considering dynamic characteristics. The algorithm is simulated on PC for maximum speed, moving time and so forth.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.161-165
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• 2002

This paper describe a trajectory generation method for a soccer robot using cubic Bezier curve. It is proposed that the method to determine the location of control points. The control points are determined by the distance and the velocity parameters of start and target positions. Simulation results show its traceability of the trajectory of mobile robot.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.311-312
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• 2011

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.277-278
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• 2011

• Journal of the Korean Society for Precision Engineering
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• v.29 no.12
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• pp.1321-1330
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• 2012

This paper describes an advanced formation algorithm of clustered multiple robots for their navigation using flexible formation method for collision avoidance under static environment like narrow corridors. A group of clustered multiple robots finds the lowest path cost for navigation by changing its formation. The suggested flexible method of formation transforms the basic group of mobile robots into specific form when it is confronted by particular geographic feature. In addition, the proposed method suggests to choose a leader robot of the group for the obstacle avoidance and path planning. Firstly, the group of robots forms basic shapes such as triangle, square, pentagon and etc. depending on number of robots. Secondly, the closest to the target location robot is chosen as a leader robot. The chosen leader robot uses $A^*$ for reaching the goal location. The proposed approach improves autonomous formation characteristics and performance of all system.