• 로봇학회논문지
• /
• 제2권2호
• /
• pp.191-195
• /
• 2007

Abstract MOCIE(Ministry of Commerce, Industry and Energy) handles 6 Projects for Intelligent Robot, whose budget is around 40 Million dollars per year. In this paper we have tried to analyze the state of robot technology of the projects. Each sub-projects has been divided according to the technological classification. Two major projects of Next Generation Growth Engine and 21C Frontier show different state each other. The former is focused on the product while the latter on the technology. Output of 21C Frontier should be linked to the Next Generation Growth Engine, otherwise, it will fail to advance. The project management handles only the quantitative performance such as business results, number of prototype, and number of patents and papers. Technological Capability is essential and it should be managed. This paper proposes efficient classification of robot technology and technology index.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2004년도 ICCAS
• /
• pp.24-27
• /
• 2004

This paper describes the method how to control an autonomous robot remotely using Internet. The autonomous robot that has an artificial brain is called "Tarou". (1) It is able to move along the line on the floor based on processing the image data obtained from two CCD cameras. (2) It is able to understand dialogs between human being and it and is able to take actions such as turn right and lefts, go forward 1m and go backward 0.5m, etc. (3) It is able to recognize patterns of objects. (4) It is able to recognize human faces. (5) It is able to communicate human being and to speak according to contents written in the program. We show the techniques to control the autonomous robot "Tarou" remotely by personal computer and/or portable Phone via Internet. The techniques developed in our research could dramatically increase their performance for..the need of artificial life robot as the next generation robot and national homeland security needs.

• 로봇학회논문지
• /
• 제2권1호
• /
• pp.103-108
• /
• 2007

Intelligent Robot is considered as one of the Next Generation Growth Engine in many countries. The application fields are expected to be widen from 80's robotics for manufacturing to many applications such as military, space, medical, personal, etc. To reduce the R&D investment risk Technical Roadmap is prepared by Japan, Europe and Korea. In this paper, the technical Roadmap of the countries was analysed to get the idea of future of Robotics. Robotics is considered as one of solutions of future aged society. Robot can assist and company with elderly people in the near future. On the other hand, Robot is considered as a core technology of manufacturing competitive power. Industrial competitiveness also would be dependent on robot technology. Special Service robot has many application areas and each country has different target based on the situation. With the comparison of technical roadmap, we have suggested some ideas to improve Korea's roadmap.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
• /
• pp.495-500
• /
• 2002

Recently, a service robot industry outstands as an up and coming industry of the next generation. Specially, there are so many research in self-steering movement(SSM). In order to implement SSM, robot must effectively recognize all around, detect objects and make a surrounding map with sensors. So, many robots have a sonar and a infrared sensor, etc. But, in these sensors, We only know informations about between the robot and the object as well as resolution faculty is of inferior quality. In this paper, we will introduce new algorithm that recognizes objects around robot and makes a two dimension surrounding map with a omni-direction vision camera and two stereo vision cameras.

• 반도체디스플레이기술학회지
• /
• 제18권3호
• /
• pp.144-149
• /
• 2019

This paper describes the results of a study on the unmanned maintenance robot that simultaneously performs the cleaning and inspection of the photovoltaic panels. The robot has a special adsorptive device, an infrared sensor, a vacuum level sensor and a camera. The robot uses two SSC (Sliding Suction Cup) adsorptive devices to move up and down the slope. First, the forces generated when the robot moves up the slope are mechanically analyzed, and the required design and control of the adsorption system are suggested. The robot was designed and manufactured to operate stably by using the presented results. Next, the normal force between the panel and the wheel was measured to confirm that the robot was manufactured and operated as intended, and the robot motion was tested on the inclined panel. It has been proven that robots are well designed and built to clean and inspect sloped panels.

• 한국정밀공학회지
• /
• 제14권1호
• /
• pp.158-167
• /
• 1997

For the use of a mobile robot in dynamic environment, a collision-avoidance algorithm with moving obsta- cle is necessary. In this paper, a collsion-avoidance algorithm of a mobile robot is presented, when a mobile robot detects the collision with moving obstacle on the navigational path. Using reported positions of moving obstacle with sensors, the mobile robot predicts the next position of moving obstacle with possibility of collision. The velocity of moving obstacle is modeled as random walk process with Gaussian distribution. The optimal collision-avoidance path in which turning motion of the mobile robot is considered is generated with relative velocity between the mobile robot and moving obstacle. For the safety of collision-avoidance path, attractive potential with the safety factor is suggested. The simulation results using this algorithm show the mobile robot avoids collision with moving obstacle in many cases.

• 한국산학기술학회논문지
• /
• 제10권8호
• /
• pp.2126-2133
• /
• 2009

세계적으로 로봇산업이 거대시장으로 급성장할 것으로 예상되면서, 많은 국가에서 정책적으로 로봇산업 발전을 추진하고 있다. 이러한 추세에 발맞춰 대한민국에서도 정부의 전략적 주도하에 다양한 분야에서의 로봇개발이 수행되고 있다. 이러한 연구개발 프로그램들은 산학협력을 통해 이루어지고 있으며, 더 나아가 기업의 애로기술을 해소하기 위한 기술적인 지원 및 교육을 추구하는 인력양성 및 산학협력 확산 연계 프로그램을 포함하고 있다. 본 논문에서는 이러한 산학협동 프로그램의 잠정적인 성과에 대해 논하였다. 우선 차세대 특성화 계획에 포함된 각각의 프로그램을 설명하고, 로봇 개발과 관련한 인력양성의 성과를 평가하였다. 마지막으로 이러한 프로그램들의 지속적이고 바람직한 발전을 위한 방안을 고찰하였다.

• 반도체디스플레이기술학회지
• /
• 제19권3호
• /
• pp.130-135
• /
• 2020

This paper describes the results of a study on the unmanned cleaning robot that performs the cleaning of the floating photovoltaic panels. The robot uses two SSC (Sliding Suction Cup) adsorptive devices to move up and down the slope. First, the forces generated when the robot moves up the slope are mechanically analyzed. The robot was designed and manufactured to operate stably by using the presented results. Next, the robot motion was tested on the inclined panel. It has been proven that robots are well designed and built to clean sloped panels.

• Journal of Ship and Ocean Technology
• /
• 제11권1호
• /
• pp.1-10
• /
• 2007

This study introduces the development of robot fish ROFI 1.1. Today, robot fish is one of strong candidates for next-generation UUV. The present paper describes the design, manufacturing, and operation tests of the robot fish developed at Seoul National University. The very first robot fish in Korea, ROFI 1.1 is operated by a wireless remote controller. Its overall length is 680mm, and weight is 8.8kg. The fore body contains main mechanical and electrical systems and is covered by a FRP skin. The aft body has a mechanical bone system that mimics fish bones, and its skin is made of flexible silicon sponge to allow elastic motion for propulsion. It is found that this mechanical system creates effective and realistic fish-like swimming mode. It is observed that the normal and maximum advancing speeds of ROFI 1.1 are about 1 and 2 m/sec, and the turning radius is between $0.7{\sim}2.5m$, depending on the turning mechanism.

• 한국차세대컴퓨팅학회논문지
• /
• 제15권3호
• /
• pp.16-24
• /
• 2019

최근 뇌파를 기반으로 한 인간의 감정을 인식하는 연구가 인간-로봇 상호작용 분야에서 활발히 진행되고 있다. 본 논문에서는 MAHNOB-HCI에서 사용된 자기평가와 주석 레이블링 방법과는 다른, 이미지 기반의 뇌파 Topography를 이용한 레이블링을 통해 감정을 평가하는 방법을 제안한다. 제안한 방법은 뇌파 신호를 Topography의 이미지로 변환하여 기계학습 모델을 학습하고 이를 기반으로 Valence 기반의 감정을 평가한다. 제안한 방법은 레이블링 과정을 자동화하여 지연 시간을 없애고 객관적인 레이블링을 제공할 수 있다. MAHNOB-HCI 데이터베이스를 적용한 실험에서 SVM, kNN의 기계학습 모델을 학습하여 주석 레이블링과 성능 비교를 하였으며, 제안 방법의 감정인식 정확도를 SVM에서 54.2%, kNN에서 57.7%로 확인하였다.