• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.473-475
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• 2003

최근 빠른 시간에 행동을 표현할 수 있는 장점을 가진 반응형 시스템과 최적화된 시퀀스를 생성할 수 있는 계획에 기반만 시스템을 통합하기 위한 하이브리드 시스템의 연구가 활발히 진행되고 있다. 행동 네트워크 구조는 센서와 목적에 대한 외부연결과 행동들 사이의 내부연결을 통해 수동적으로 설계되지만. 자동적으로 행동을 생성할 수 있고 복잡한 문제에 적용할 수 있는 장점이 있다. 본 논문에서는 이동 에이전트의 행동을 생성하기 위한 최적화된 방법을 찾는 문제에 대해 이 행동 네트워크에 계획 기능을 부가함으로 행동 시퀀스를 최적화하는 방법을 제안한다. 행동 네트워크는 입력된 정보와 목적 정보를 가지고 다음에 수행할 행동을 선택하여 각 상황에 가장 높은 우선순위를 가지는 행동만을 선택한다. 이 행동 네트워크에서 선택된 모든 행동들을 몇 단계 앞서 수행시켜 가장 좋은 결과를 가져올 행동으로 다음의 행동을 선택하는 방법을 통하여 복잡하고 불확실한 환경에서 주어진 목표를 달성하기 위한 전체적인 최적 행동 시퀀스를 생성할 수 있다. Khepera 이동 로봇을 이용한 실험을 통해 제안한 행동 네트워크에 계획을 이용한 방법이 행동 네트워크 구조에서보다 더 적은 행동 시퀀스로 목적을 달성함을 알 수 있었다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3105-3107
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• 1999

In this paper, we propose a new approach to autonomous wall-following of wheeled mobile robots using hybrid control system. The hybrid control approach IS introduced to the motion control of nonholonomic mobile robots in the Indoor navigation problems. In hybrid control architecture, the discrete states are defined by the user-defined constraints, and the reference motion commands are specified In the abstracted motions. The hybrid control system applied to motion planning and autonomous navigation with obstacle avoidance In indoor navigation problem. Simulation results show that it is an effective method for the autonomous navigation in indoor environments.

• Proceedings of the KIPE Conference
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• 2008.10a
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• pp.94-96
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• 2008

이차전지는 방전을 통하여 화학에너지를 전기에너지로 변환하여 사용하고 이의 역반응인 충전과정을 통하여 전기에너지를 화학에너지로 변환하여 저장함으로써 반복 사용이 가능하다. 많은 이차전지 중에서 리튬이차전지는 현재 핸드폰, 노트북, PDA 등 휴대용 전자기기가 보편화된 Mobile Energy 시대의 동력원이며, 최근 하이브리드 자동차, 지능형 로봇 등의 신산업분야에 적용하기 위한 고출력, 중/대형 이차전지의 개발이 활발히 진행되고 있다. 아울러 경쟁력을 확보하기 위해 전지부문에서는 에너지 밀도, 출력밀도, 사이클 수명, 안전성 등에서 지속적인 성능향상을 거듭하고 있으며, 활용면에서는 고밀도화에 따른 발열, 발화 사고의 안전성 문제를 해결하기 위해 배터리 보호회로를 필수적으로 장착하며, 이러한 보호회로는 용도에 따라 PCM(Protection Circuit Module), 스마트모듈(Smart Module), BMS(Battery Management System) 등으로 명칭되며, 각 사용분야별로 개발이 활발히 진행되고 있어 전지 시스템의 고안전성 및 고신뢰성을 추구하고 있다.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.190-194
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• 2008

This paper presents a speaker identification technique which is one of the basic techniques of the ubiquitous robot companion. Though the conventional mel-frequency cepstral coefficients guarantee high performance of speaker identification in clean condition, the performance is degraded dramatically in noise condition. To overcome this problem, we employed the relative autocorrelation sequence mel-frequency cepstral coefficient which is one of the noise robust features. However, there are two problems in relative autocorrelation sequence mel-frequency cepstral coefficient: 1) the limited information problem. 2) the residual noise problem. In this paper, to deal with these drawbacks, we propose a multi-streaming method for the limited information problem and a hybrid method for the residual noise problem. To evaluate proposed methods, noisy speech is used in which air conditioner noise, classic music, and vacuum noise are artificially added. Through experiments, proposed methods provide better performance of speaker identification than the conventional methods.

• Journal of KIISE
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• v.42 no.3
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• pp.320-327
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• 2015

Although service robots in various fields are being commercialized, most of them have problems that depend on explicit commands by users and have difficulty to generate robust reactions of the robot in the unstable condition using insufficient sensor data. To solve these problems, we modeled mirror neuron and theory of mind systems, and applied them to a robot agent to show the usefulness. In order to implement quick and intuitive response of the mirror neuron, the proposed intention-response model utilized behavior selection networks considering external stimuli and a goal, and in order to perform reactions based on the long-term action plan of theory of mind system, we planned behaviors of the sub-goal unit using a hierarchical task network planning, and controled behavior selection network modules. Experiments with various scenarios revealed that appropriate reactions were generated according to external stimuli.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.1
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• pp.33-40
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• 2000

In this paper, an integrated method for the path planning and motion control of wheeled mobile robots using a hybrid system model and control is presented. The hybrid model including the continuous dynamics and discrete dynamics with the continuous and discrete state vector is derived for a two wheel driven mobile robot. The architecture of the hybrid control system for real time path planning and following is designed which has the 3-layered hierarchical structure : the discrete event system using the digital automata as the higher process, the continuous state system for the wheel velocity controls as the lower process, and the interface system as the interaction process between the continuous system as the low level and the discrete event system as the high level. The reference motion commands for autonomous navigation are generated by the abstracted motion in the discrete event system. The motion control tasks including the feasible path planning and autonomous motion control with various initial conditions are investigated as the applications by the simulation studies.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.5
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• pp.539-543
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• 2012

Cellulose Electro-Active Paper (EAPap) is attractive as a biomimetic actuator because of its merits: it is lightweight, operates in dry conditions, has a large displacement output, has a low actuation voltage, and has low power consumption. Cellulose is regenerated so as to align its microfibrils, which results in a piezoelectric paper. When chemically bonded and mixed with carbon nanotubes, titanium oxide, zinc oxide, tin oxides, the cellulose EAPap can be used as a hybrid nanocomposite that has versatile properties and that can meet the requirements of many application devices. This paper presents trends in recent research on the cellulose EAPap, mainly on material preparation and its use in devices, including biosensors, chemical sensors, flexible transistors, and actuators. This paper also explains wirelessly driving technology for the cellulose EAPap, which is attractive for use in biomimetic robotics and micro-aerial vehicles.