• 로봇학회논문지
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• 제14권1호
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• pp.22-30
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• 2019

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot's understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1025-1030
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• 2005

This paper deals with the emotional model of the software-robot. The software-robot requires several capabilities such as sensing, perceiving, acting, communicating, and surviving. and so on. There are already many studies about the emotional model like KISMET and AIBO. The new emotional model using the modified friendship scheme is proposed in this paper. Quite often, the available emotional models have time invariant human respond architectures. Conventional emotional models make the sociable robot get around with humans, and obey human commands during robot operation. This behavior makes the robot very different from real pets. Similar to real pets, the proposed emotional model with the modified friendship capability has time varying property depending on interaction between human and robot.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.16-19
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• 2003

This paper describes research on mental commit robot that seeks a different direction from industrial robot, and that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with an emphasis on human-robot interaction. In the previous research, we categories robots into four categories in terms of appearance. Then, we introduced a cat robot and a seal robot, and evaluated them by interviewing many people. The results showed that physical interaction improved subjective evaluation. Moreover, a priori knowledge of a subject has much influence into subjective interpretation and evaluation of mental commit robot. In this paper, 133 subjects evaluated the seal robot, Paro by questionnaires in an exhibition at the National Museum of Science and Technology in Stockholm, Sweden. This paper reports the results of statistical analysis of evaluation data.

• 영재교육연구
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• 제19권3호
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• pp.669-695
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• 2009

21세기는 과히 로봇 혁명의 시대이다. 불과 몇 해 전만 하더라도 로봇 시장에서의 주류는 산업용 로봇이었다. 그러나 현재는 다양한 유형의 로봇이 여러 가지 목적으로 우리의 일상생활에서 활용되고 있으며, 가까운 미래에는 인간과 유사하게 사고하고 행동하는 로봇이 등장할 전망이다. 결과적으로 로봇 혁명은 인류의 생활양식을 통째로 변화시킬 것으로 예상된다. 따라서 미래 로봇사회에 적응할 창의적 인재 양성을 위해 로봇교육이 이루어져야 하며 특히 로봇의 움직임을 프로그래밍 할 수 있는 기회는 초등정보과학영재에게 논리적 사고력을 함양할 수 있는 효과적인 교육이 될 것이다. 본 논문에서는 로봇교육의 가장 큰 특징인 '다양한 알고리즘을 통한 프로그래밍 교육을 강화하여 일반학생이 아닌 초등정보과학영재를 대상으로 하는 로봇교육과정을 설계하였다. 로봇교육에 대한 연구가 아직은 부족한 실정으로 본 논문의 교육과정을 설계하기 위해 로봇에 대한 흥미를 갖고 있는 학생을 대상으로 한 특기적성 로봇교육과정을 분석하며 그 시사점을 초등정보과학영재를 위한 로봇교육과정 설계 시에 적용하였다. 또한 설계된 교육과정의 타당성을 검증하기 위하여 전문가 집단을 선정한 후에 델파이 조사를 실시하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1764-1768
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• 2004

In the near future, robots will be used for the personal use. To provide useful services to humans, it will be necessary for robots to understand human intentions. Consequently, the development of emotional interfaces for robots is an important expansion of human-robot interactions. We designed and developed an intelligent emotional interface for the robot, and applied the interfaces to our humanoid robot, AMIET. Subsequent human-robot interaction demonstrated that our intelligent emotional interface is very intuitive and friendly

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.422-424
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• 1992

In this paper, we are designed a hierachical system controller and builed a robot system for high precision assembly consisting in multi-arms and multi-sensor. For the control of a multi-arms robot system, the robot system are consisted of cell controller, station controller and device. The Operating System of a cell controller is VxWorks for real-time multi-processing. Using by C-language, we are proposed a multi-arms robot control language based a RCCL, and this control language is partially implemented and tested in multi-robot control system.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.249-252
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• 1996

This paper presents an algorithmic approach used in the development of a task-level off-line programming system for the efficient applicaiton of robot. In the method, robot tasks are graphically described with manipulation functions. By applying robot language these graphic robot tasks are converted into commands for the robot. A programming example demonstrates the potentiality of task-oriented robot programming.

• 로봇학회논문지
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• 제16권3호
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• pp.260-269
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• 2021

To verify performance or conduct experiments using actual robots, a lot of costs are needed such as robot hardware, experimental space, and time. Therefore, a simulation environment is an essential tool in robotics research. In this paper, we develop the HUMIC simulator using ROS and Gazebo. HUMIC is a humanoid robot, which is developed by HCIR Lab., for human-robot interaction and an upper body of HUMIC is similar to humans with a head, body, waist, arms, and hands. The Gazebo is an open-source three-dimensional robot simulator that provides the ability to simulate robots accurately and efficiently along with simulated indoor and outdoor environments. We develop a GUI for users to easily simulate and manipulate the HUMIC simulator. Moreover, we open the developed HUMIC simulator and GUI for other robotics researchers to use. We test the developed HUMIC simulator for object detection and reinforcement learning-based navigation tasks successfully. As a further study, we plan to develop robot behavior intelligence based on reinforcement learning algorithms using the developed simulator, and then apply it to the real robot.

• Journal of information and communication convergence engineering
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• 제8권2호
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• pp.180-184
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• 2010

This paper proposes a robot motion authoring using finger-robot interaction. The proposed method is a user friendly method that easily authors (creates and controls) robot motion according to the number of fingers. The effectiveness of the proposed motion authoring method was verified based on motion authoring simulation of an industrial robot.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.807-810
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• 1997

Digital control of robot manipulator employs discrete-time robot models. It is important to explore effective discrete-time robot models and to analyze their properties in control system designs. This paper presents a new type discrete-time robot model. The model is derived by using trapezoid rule to approximate the convolution integral term, then eliminating nonlinear force terms from robot dynamical equations. The new model obtained has very simple structure, and owns the properties of independence to the nonlinear force terms. According to evaluation criteria, three aspects of the model properties: model accuracy, model validity range and model simplicity are examined and compared with commonly used discrete-time robot models. The validity of the proposed model and its advantages to control system designs are verified by simulation results.