http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Collaboration Technique of RT-Middleware with the Existing Simulator
Tsunehiko FUJITA,Makoto MIZUKAWA,Yoshinobu ANDO 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
The developments of the robots usually depend on their own original specifications. Therefore, the reuse of the robot technologies and/or components is difficult and their development processes required much time and high cost. The National Institute of Advanced Industrial Science and Technology developed RT-Middleware to solve the above problems by modularizing and defining a framework of RT-Component. The development efficiency is improved by using RT-Middleware. However, there is still a problem that there are only few simulators which correspond to RT-Middleware. For the reason, in this paper we focus to simulate the robot, which adopts the RT-Middleware by using an existing simulator. As the result, the system developers can simulate their own system easily.
RT Ontology development and human preference learning for assistive robotic service system
Lam Trung Ngo,Makoto Mizukawa 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
In service robotics systems, understanding the relationship between environmental objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship, yet it contains non-context information. In this paper, we propose a novel method to develop the RT Ontology automatically and a learning algorithm to connect the context-free model of RT Ontology with human preference. Resulting system is capable of providing assistive contextual services to user, as well as learning human action preference.
Improvement of Robustness of the Dual Floor Image Tracking Odometry Measurement
Takahiro TAKASU,Makoto MIZUKAWA,Yoshinobu ANDO 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Dual Floor Image Tracking (DFIT) is a dead reckoning component, which acquires optical flows of ground images from two cameras. The robot that is equipped with the DFIT can measure its position and rotation without being affected by slip or drift. Noncontact feature of the DFIT enables to add-on robots with an arbitrary driving mechanism. This paper presents the design principle of the DFIT and the features of RT component with experimental evaluation.
Human Behavior Recognition via Top-View Vision for Intelligent Space
Skulkittiyut Weerachai,Makoto MIZUKAWA 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Intelligent Space (IS), a kind of intelligent home, is one of the popular of the applying RT into our daily life. In intelligent space environment, human behavior is one of the meaningful information for interpretation of our intention and needs. In this paper, we proposed the human posture recognition approach which focuses on a top-view vision. A top-view vision enables our system to observe the whole area with single camera and also avoid horizontal obstacle. Moreover, a human posture feature which based on DFT (Discrete-time Fourier Transform) coefficients of log-polar histogram has been proposed. We have categorized human behavior to two types. The first one is a stationary behavior which consists of standing, sitting and lying. The second one is a moving behavior.
Emotion Monitoring from Physiological Signals for Service Robots in the Living Space
Kanlaya Rattanyu,Michiko Ohkura,Makoto Mizukawa 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
To increase the amount of happiness in our daily life, we must recover ourselves from displeasing emotional states and try to keep to more pleasing emotions. The way for the user to avoid displeasing emotions depends on the category of the emotion, whether it be fear, anger, disgust or sadness. In this study, we focus on emotion recognition for service robots in the living space. An emotional state is important information that allows a robot system to provide appropriate services in way that are more in tune with users’ needs and preferences. Moreover, the users’ emotional state can be feedbacks to evaluate user’s level of satisfaction in the services. We apply a diagnosis method by using analyzed value of biological signals for the emotion recognition. Our system design is based on wireless and wearable physiological sensors for mobility and convenience of users’ daily lifestyle.
Using GPS outdoor autonomous driving system for robot development(ICCAS2008)
Yutaka Erikawa1,Yoshinobu Ando,Makoto Mizukawa 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper, we suggest that autonomy moves a robot to the destination without we transcribe a map on interface and order an aim point and the course of the robot on the map. By this, an aim point accords at the coordinate in the map, and it is not necessary to show position information for numerical value. When we produce this system, "The navigation of the robot which it used GPS", "A revision for the difference to occur in GPS and the coordinate value of the map." and "Making of the interface to appoint an aim point from map data." are nominated for necessary element technology. By this report, we performed an element experiment about the navigation of the robot which it used GPS for among element technology.
A Study of Towel Folding by a Robot Arm
Tomoya Oshima,Takashi Yoshimi,Makoto Mizukawa,Yoshinobu Ando 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
In this study, we aim to construct a sequence of towel folding operations by a robot arm. In this paper, we propose the methods for spreading a towel and detecting the grasp positions. For the easy spreading of the towel, we propose how to put the towel on the table. The proposed method lifts one vertex of the towel, and detects the shadow part by using a camera image for recognizing the overlapped condition of the towel. For the folding motion of the towel, we set the vertices of the towel edges as grasping positions. So, we propose the way to detect the vertices of the towel correctly by generating a rectangle which includes all feature points of the towel by using image processing.