• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.235-238
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• 1989

Generally, Industrial robots are often controlled using joint processors and treating each joint as an independent servo loop. This paper presents a system architecture for robot control designed for real-time control of motion and sensory processing utilizing general-purpose Personal Computer. And for easily use and system expendability, robot language is implemented with C-language as base language. Through this system user can easily update robot language by design of his own language primitives. This system also don't require another development tool and can be used as advanced algorithm simulator in robotics laboratories.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.446-449
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• 1990

A Multi-Robot Control language (MRCL) is proposed to effectively control the multi-robot. MRCL has not only single-robot, command, but multi-robot command with multi-task OS, XINU. Concurrent motion, coordinate motion, and simple collision avoidance motion are implemented. This language is expected to act as a intelligent supporting tool for multi-robot system. To verify the effectiveness of the MRCL, a simple puzzle matching example is illustrated.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.101-104
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• 1987

This paper shows the robot-vision system which consists of robot, vision system, single board computer and IBM-PC. IBM-PC based system has a great flexibility in expansion for a vision system interfacing. Easy human interfacing and great calculation ability are the benefits of this system. It was carried to interface between each component. The calibration between two coordinate systems is studied. The robot language for robot-vision system was written in "C" language. User also can write job program in "C" language in which the robot and vision related functions reside in the library.side in the library.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.239-243
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• 1989

This paper represents the control software development for Direct Drive Arm Robot with the WHILE language composed the 68000 assembly language and high level language modula-2. Direct Drive Ann Robot needs the control program which is fast step and exactly position moving because Direct Drive Arm Robt depends on accuracy. We found that the self-tuning algorithm for this robot control is very good for the real time control and the floating point operation using the 32 bit CPU(MC 68020) controller.

• 한국언어정보학회지:언어와정보
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• 제19권2호
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• pp.1-18
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• 2015

This paper retraces the development of Database Semantics (DBS) from its beginnings in Montague grammar. It describes the changes over the course of four decades and explains why they were seen to be necessary. DBS was designed to answer the central theoretical question for building a talking robot: How does the mechanism of natural language communication work? For doing what is requested and reporting what is going on, a talking robot requires not only language but also non-language cognition. The contents of non-language cognition are re-used as the meanings of the language surfaces. Robot-externally, DBS handles the language-based transfer of content by using nothing but modality-dependent unanalyzed external surfaces such as sound shapes or dots on paper, produced in the speak mode and recognized n the hear mode. Robot-internally, DBS reconstructs cognition by integrating linguistic notions like functor-argument and coordination, philosophical notions like concept-, pointer-, and baptism-based reference, and notions of computer science like input-output, interface, data structure, algorithm, database schema, and functional flow.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.119-122
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• 2005

Lego company created a set called Robotic Invention System as a kind of Mindstorm set. This system helps to understand the technology of both robot and programming language. It also improves creativeness by building and controlling the robot we make. This paper will introduce basic idea of controlling the RCX(Programmable Lego Block) in C language. Also, this paper will show different idea of teaching C language by using other types of robots.

• 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.

• 컴퓨터교육학회논문지
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• 제8권6호
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• pp.23-32
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• 2005

두리틀은 프로그래밍을 통해 컴퓨터 과학의 원리 및 개념의 학습을 돕는 교육용 프로그래밍언어이다. 로봇을 이용한 프로그래밍 학습은 학습자의 흥미를 유발하여 학업성취도를 향상시킨다. 그러나 두리틀과 로봇 제어용 언어는 명령어나 언어체계, 실행체계가 다르다. 따라서 학습자는 로봇제어를 위해 사실상 두 가지 언어를 습득해야 하므로 두리틀의 교육용언어로써의 장점을 감소시킨다. 이러한 문제점을 해결하기 위하여 두리틀 거북객체 명령어를 로봇 제어 명령어로 변환하여 주는 parser를 이용하여 두리틀과 로봇 로봇제어용 언어의 일원화를 시도하였지만, 거북객체와 로봇의 속성이 다름으로 인해 적용 가능한 명령어가 일부분에 그치는 제약을 극복하지 못하였다. 본 연구에서는 두리틀 표준객체군에 로봇을 직접 제어할 수 있는 로봇객체를 추가함으로써 두리틀과 로봇 제어용 언어 일원화의 근본적인 해결책을 제시하여 로봇을 포함한 두리틀의 다양한 객체를 동시에 제어하는 프로그래밍이 가능하도록 하여 로봇을 이용한 프로그래밍 학습의 교육적 효과를 제고하였다.

• IEIE Transactions on Smart Processing and Computing
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• 제1권3호
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• pp.192-200
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• 2012

In order for humans and robots to interact in daily life, robots need to understand human speech and link it to their actions. This paper proposes a hierarchical behavior model for robot action control using natural language commands. The model, which consists of episodes, primitive actions and atomic functions, uses a sentential cognitive system that includes multiple modules for perception, action, reasoning and memory. Human speech commands are translated to sentences with a natural language processor that are syntactically parsed. A semantic parsing procedure was applied to human speech by analyzing the verbs and phrases of the sentences and linking them to the cognitive information. The cognitive system performed according to the hierarchical behavior model, which consists of episodes, primitive actions and atomic functions, which are implemented in the system. In the experiments, a possible episode, "Water the pot," was tested and its feasibility was evaluated.

• 정보교육학회논문지
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• 제13권2호
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• pp.205-214
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• 2009

외계의 음을 묘사하거나 자연계 사물의 모양, 현상, 움직임, 상태 모습을 표현한 상징적 음성언어의 지도방법으로 사전적인 뜻풀이의 일방적인 해설을 삼가고 학습자들의 생각을 자극하고 학습자 스스로 의미를 이해할 수 있는 노래와 만화와 같은 쉽고 재미있는 활동이 요구된다. 따라서 본 연구에서는 언어 학습 활동 로봇 콘텐츠를 개발하고 학습활동 후 학업 성취도와 정의적 영역에서의 변화를 비교하여 로봇의 교육적 활용 가능성을 살펴보고자 하였다. 로봇과 컴퓨터를 활용한 흉내내는 말 학습 활동 후 소리, 모양, 움직임을 흉내내는 말의 3가지 유형의 성취도를 측정한 결과 소리와 모양을 흉내내는 말 학습에서는 유의미한 차이를 보이지 않았지만, 움직임을 흉내내는 말 학습에서는 매우 유의미한 차이를 보였다. 또한 로봇을 활용한 흉내내는 말 학습 활동은 학습자의 정의적 영역(흥미도, 이해도, 성취도)에 긍정적인 변화를 가져왔음을 알 수 있었다.