• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1777-1778
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• 2007

In this paper, We design and implement a humanoid robot, With Educational purpose, which can collaborate and communicate with human. We present an affective human-robot communication system for a humanoid robot, D2, which we designed to communicate with a human through dialogue. D2 communicates with humans by understanding and expressing emotion using facial expressions, voice, gestures and posture. Interaction between a human and a robot is made possible through our affective communication framework. The framework enables a robot to catch the emotional status of the user and to respond appropriately. As a result, the robot can engage in a natural dialogue with a human. According to the aim to be interacted with a human for voice, gestures and posture, the developed Educational humanoid robot consists of upper body, two arms, wheeled mobile platform and control hardware including vision and speech capability and various control boards such as motion control boards, signal processing board proceeding several types of sensors. Using the Educational humanoid robot D2, we have presented the successful demonstrations which consist of manipulation task with two arms, tracking objects using the vision system, and communication with human by the emotional interface, the synthesized speeches, and the recognition of speech commands.

• ETRI Journal
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• v.40 no.4
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• pp.511-521
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• 2018

The ability to realize human-motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots. In this paper, we propose a work chain-based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint-angle configuration. In addition, a two-phase filter is used to remove the interference and noise, together with a self-collision avoidance scheme to maintain the stability of the robot during the imitation. Experimental results verify the effectiveness of our solution on the humanoid robot Nao-H25 in terms of accuracy and real-time performance.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.343-346
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• 2008

휴머노이드 로봇이 넘어질 경우, 충격에 의한 손상이 발생할수 있다. 이를 최소화하는 넘어짐 자세의 생성을 위하여 개선된 PGA 기반의 탐색기법을 제안한다. 다목적함수를 고려한 군집 간 이주방식의 효율적 조합을 통해 넘어짐 충격을 최소화하는 각 관절 궤적을 구할수 있도록 하였다. 제안된 기법의 검증을 위하여 Sony QRIO 로봇에 대해서 ODE 기반의 Webots 시뮬레이션을 이용하여 실험을 수행하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.197-202
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• 2003

This paper describes realtime walking based on sensory information. In this study, a biped robot having a trunk is considered. The motion of the trunk balances the whole body of the biped robot while the legs locomotes on the ground. How to calculate the motion of the trunk is proposed using the ZMP concept. Also, an online walking pattern is discussed which is generated in realtime on the basis of walking parameters selected by visual and auditory sensors. In order to realize biped walking, we have constructed a forty-three degrees of freedom biped robot, WABIAN-RV (WAseda BIped humANoid robot-Revised V). Its height is 1.89[m] and its total weight is 131.4[kg]. Various walking experiments using WABIAN-RV are conducted on the plane, and the validity of its mechanism and control is verified.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.369-371
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• 2009

휴머노이드 로봇에서 스스로 환경을 인식하는 기술은 필수적으로 필요하다. 그러나 정확하게 환경을 인식하기 위해서는 휴머노이드 움직임을 추정하여 보정해야 한다. 따라서 본 논문에서는 type-2 퍼지셋을 이용하여 휴머노이드 로봇의 움직임을 스테레오 비전기반으로 추정하는 방법을 제안하고자 한다. 본 연구에서는 우선 스테레오 비전으로 얻은 Disparity Map을 Type-2 퍼지셋을 이용하여 추적할 대상을 추출한다. 추출된 대상은 보다 정확한 계산을 위하여 Wavelet Transform을 이용하여 정보량을 확장하였으며, 그 결과로 얻어진 결과영상들은 다시 Least suqare approximation과 Type-2 퍼지셋을 이용하여 하나의 결과값으로 나타내어진다. 연속된 두 이미지의 움직임을 추정함으로써 로봇의 움직임을 추정하게 된다. 제안된 방법은 실험을 통하여 그 추정 정확도나 연산속도 면에서 효율적임을 알 수 있었다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.50-53
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• 2008

본 논문에서는 복잡한 환경에서 휴머노이드 로봇의 영상기반 운동계획을 제안하였다. 먼저 영상전처리 과정을 통해 작업환경에서 경로 계획으로 최적 경로를 탐색하고, 탐색된 경로의 거리와 방향각에 따라 퍼지규칙을 적용하여 보행 프리미티브를 선택하는 운동계획방법을 제안하였다. 다양한 장애물을 갖는 복잡한 환경에서 로봇의 보행 프리미티브를 사용하여 영상기반의 운동계획이 실시간으로 수행 가능하도록 설계하였다. 제안한 운동계획방법은 임베디드 비전 시스템을 사용한 휴머노이드 로봇을 실제 제작하여 실험을 통해 성능을 검증하였다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2411-2413
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• 2003

A new small humanoid robot system is developed in this paper. The humanoid robot has total 20 DOFs : 6 DOFs in each legs, 3 DOFs in each arms, and 2 DOFs in head, 34cms in height, and 2kgs in weight. The robot has the following characteristics: (1) PDA as host controller (2) network-based joint controller (3) wireless camera attached in robot's head (4) mechanism design by CATIA and high speed laser prototyping (5) graphic MMI(Man-Machine Interface) utilizing the CATIA data. By using ADXL inclination sensor, we implement the rope swing with the robot leg motion as well as walking.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.3
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• pp.280-285
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• 2009

This paper introduced an automatic generation method of falling motions for humanoid robots to minimize a damage. The proposed approach used a PGA based optimization technique to find a set of joint trajectories which minimize a damage of the falling over and down. Injection-migration PGA technique is introduced and compared with EMO and various migration topologies. To verify the proposed method, experiments for falling motions were executed for Sony QRIO robot in Webots simulation environments.

• The Journal of Korea Robotics Society
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• v.7 no.1
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• pp.1-8
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• 2012

A humanoid robot hand with one thumb and two fingers has been developed. Each finger has the specially designed compact joints, called "MEC Joint", which convert the rotation of a motor to the swing motion of a pendulum. The robot hand with the MEC Joints is compact and relatively light but strong enough to grasp objects in the same manner as human being does in daily activities. In this paper the kinematic model and the torque characteristics of the MEC Joint are presented and compared with the results of the dynamic simulation and the dynamometer test. The dynamic behavior of the thumb and two fingers with MEC Joints are also presented by computer simulation.

• The Journal of Korea Robotics Society
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• v.9 no.4
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• pp.264-271
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• 2014

In this study, we have developed the humanoid joint modules which provide a variety of service while living with people in the future home life. The most important requirement is ensuring the safety for humans of the robot system for collaboration with people and providing physical service in dynamic changing environment. Therefore we should construct the mechanism and control system that each joint of the robot should response sensitively and rapidly to fulfill that. In this study, we have analyzed the characteristic of the joint which based on the target constituting the humanoid motion, developed the optimal actuator system which can be controlled based on each joint characteristic, and developed the control system which can control an multi-joint system at a high speed. In particular, in the design of the joint, we have defined back-drivability at the safety perspective and developed an actuator unit to maximize. Therefore we establish a foundation element technology for future commercialization of intelligent service robots.