• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
• /
• pp.277-278
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2009.06a
• /
• pp.617-618
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2009.06a
• /
• pp.605-606
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2008.06a
• /
• pp.751-752
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2009.10a
• /
• pp.359-360
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• 2009

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.28-29
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• 2005

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2005.10a
• /
• pp.32-33
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• 2005

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2010.11a
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• pp.37-38
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• 2010

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1979-1980
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• 2006

최근 인간과 유사한 휴머노이드에 대한 연구가 상당히 활발하고 그 영역이 계속해서 확대되고 있는 추세다. 휴머노이드에는 로봇의 몸체 뿐 아니라 머리 부분, 특히 시각 시스템이 매우 중요하다. 본 논문에서는 생리학적인 측면에서 인간의 눈과 목의 운동을 관찰하여 휴머노이드에 적용 가능한 능동 시각 시스템의 기구부 설계 방법을 제안하고 제어 방식을 설명한다. 기존의 팬-틸트 방식의 시각 시스템에 없는 인공 안구의 롤 회전 기능을 추가함으로써, 사람의 시각 시스템과 거의 유사한 동작 영역과 동작 속도를 보이게 된다. 소형 비전센서 모듈을 사용함으로써 시스템의 크기가 줄고 경량화 되었다. DC 모터를 엑츄에이터로 사용함으로써, 위치와 속도 제어가 가능하고, 인간 안구의 단속적 운동을 모사 할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.215-221
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• 2006

This paper is concerned with the control of multiple nonlinearities included in a humanoid robot system. A humanoid robot has some problems such as the structural instability, which leads to consider the control of multiple nonlinearities caused by driver parts as well as gear reducer. Saturation and backlash are typical examples of nonlinearities in the system. The conventional algorithms of backlash control were fuzzy algorithm, disturbance observer and neural network, etc. However, it is not easy to control the system by employing only single algorithm since the system usually includes multiple nonlinearities. In this paper, a switching Pill is considered for a control of saturation and a dual feedback algorithm is proposed for a backlash control. To implement the above algorithms, the system identification is firstly performed for the minimization of the difference between the results of simulation and experiment, and then the switching Pill gains are determined using genetic algorithm with some heuristic approach. The performance of the switching Pill controller for saturation and the dual feedback for backlash control is investigated through the simulation. Finally, it is shown that the implemented control system has good results and can be applied to the real humanoid robot system ISHURO.