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Rescue communicators for global victim search and local rescue planning

Rescue communicators for global victim search and local resc...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hada, Yasushi Kawabata, Kuniaki Koguchi, Harutoshi Kaetsu, Hayato Asama, Hajime Distributed Adaptive RoboticS(DARS) Research Unit RIKEN Saitama Japan Research into Artifacts Center for Engineering (RACE) University of Tokyo Tokyo Japan

ISBN: (纸本)9781424402588

We are conducting research and development in technology for unifying the information of a large number of intelligent sensors distributed in a disaster-stricken area. Operating effectively as a system in real time, network household electric appliances, a personal digital assistant (PDA), a robot, etc. provided information and an action plan for a stricken area's situation. In this paper we introduce ubiquitous device "Intelligent Data Carriers for Rescue (IDC-R)" and formation of a dynamic network, and development of a means of disaster information communication (a group of people, a robot, an ad-hoc network, a home network, etc.). Target experiment for actual proof is also introduced.

关键词： sensor network ubiquitous device ad-hoc network

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Detection of object under outdoor environment with binary edge template and its application to automatic cranes

Detection of object under outdoor environment with binary ed...

引用

2003 IEEE International Conference on Industrial Technology, ICIT - Proceedings

作者： Kunimitsu, Satoshi Asama, Hajime Kawabata, Kuniaki Mishima, Taketoshi Distributed Adaptive Robotics Research Unit 2-1 Hirosawa Wako-shi Saitama Japan University of Tokyo 4-6-1 Komaba Meguro Tokyo Japan Saitama University 255 Shimo-Ookubo Sakura Saitama Japan

It proposes an expanding technique for template matching to detect the object under the outdoor environment. The edge image is used under the outdoor environment so far. Then the template converts the edge image into the binary edge image. And the template of the binary edge image is matched to an unknown edge image. As a result, it becomes robust for the change in the edge image compared with template matching between the edge images. In this paper, the outline of the proposal technique and the effectiveness of that based on the experiment result is shown. ©2003 IEEE.

关键词： Object recognition

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Evaluation of protein crystallization states based on texture information

Evaluation of protein crystallization states based on textur...

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： K. Saitoh K. Kawabata S. Kunimitsu H. Asama T. Mishima Department of Information & Computer Science Saitama University Sakura Saitama Japan Distributed Adaptive Robotics Research Unit RIKEN Saitama Japan Distributed Adaptive Robotics Research Unit RIKEN Wako Saitama Japan Research into Artifacts Center for Engineering University of Tokyo Meguro Tokyo Japan

In recent years, several projects have advanced the research and development related to the automation of the protein crystallization process. However, the evaluation of crystallization states has not been completely automated yet. In the usual crystallization process, the researchers evaluate the crystallization growth states of the protein solution samples based on one's visual impressions and assign them a score over and over again. Then it is required to make the work more efficient. The method presented here automates such evaluations. This method attempts to categorize the individual crystallization droplet images into five classes from A to E, based on their crystallization states. The algorithm is comprised of pre-processing, feature extraction from images using texture analysis and a categorization process utilizing linear discriminant analysis. The performance of this method has been tested on our experiments using actual protein solution images.

关键词： Crystallization research and development Automation Protein engineering Feature extraction Image analysis Image texture analysis Algorithm design and analysis Linear discriminant analysis Testing

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Rescue Communicators for Global Victim Search and Local Rescue Planning

Rescue Communicators for Global Victim Search and Local Resc...

引用

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Yasushi Hada Kuniaki Kawabata Harutoshi Koguchi Hayato Kaetsu Hajime Asama RIKEN Distributed Adaptive Robotics Research Unit Saitama Japan Research into Artifacts Center for Engineering (RACE) University of Tokyo Tokyo Japan

We are conducting research and development in technology for unifying the information of a large number of intelligent sensors distributed in a disaster-stricken area. Operating effectively as a system in real time, network household electric appliances, a personal digital assistant (PDA), a robot, etc. provided information and an action plan for a stricken area's situation. In this paper we introduce ubiquitous device "intelligent data carriers for rescue (IDC-R)" and formation of a dynamic network, and development of a means of disaster information communication (a group of people, a robot, an adhoc network, a home network, etc.). Target experiment for actual proof is also introduced

关键词： Intelligent robots Robot sensing systems Intelligent sensors Personal digital assistants Intelligent networks Earthquakes Wireless communication research and development Real time systems Home appliances

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Protein crystallizing state discrimination based on image processing

Protein crystallizing state discrimination based on image pr...

引用

2004 1st IEEE Technical Exhibition Based Conference on robotics and Automation, TExCRA 2004

作者： Kawabata, Kuniaki Saitoh, Kanako Asama, Hajime Sugahara, Mitsuaki Kunimitsu, Satoshi Mishima, Taketoshi Miyano, Masashi Distributed Adaptive Robotics Research Unit RIKEN Wako Saitama 351-0198 Japan Saitama Univ. Sakura Saitama 338-0825 Japan RACE Univ. of Tokyo Meguro Tokyo 153-0041 Japan Harima Inst. RIKEN Sayo Hyogo 679-5148 Japan

ISBN: (纸本)0780385640

In recent years, the research related to automation of the crystallization process has been examined in several projects. In usual crystallization process, the researchers observe the crystallization states in the protein solution samples and record the state based on one's visual impression. This evaluation is very important but requires a great deal of time. It should be done efficiency, therefore we started to discuss a method to classify protein crystallization states using image processing. We develop a state discrimination method and examine its performance. © 2004 IEEE.

关键词： Crystallization

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Detection of object under outdoor environment with binary edge template and its application to automatic cranes

Detection of object under outdoor environment with binary ed...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： S. Kunimitsu K. Kawabata H. Asama T. Mishima Distributed Adaptive Robotics Research Unit RIKEN Institute of Physical and Chemical Research Wako Saitama Japan University of Tokyo Meguro Tokyo Japan Saitama University Sakura Saitama Japan

The authors propose an expanding technique for template matching to detect the object under the outdoor environment. The edge image is used under the outdoor environment. The template converts the edge image into the binary edge image and the template of the binary edge image is matched to an unknown edge image. As a result, change in the edge image is robust compared with template matching between the edge images. In this paper, the outline of the proposed technique and the effectiveness of that based on the experimental result are shown.

关键词： Object detection Cranes Image edge detection Proposals Containers Pixel Chemicals robotics and automation Image converters Robustness

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Vehicle control based on body configuration

Vehicle control based on body configuration

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： D. Chugo K. Kawabata H. Kaetsu H. Asama T. Mishima Faculty of Science and Engineering Saitama University Saitama Japan Distributed Adaptive Robotics Research unit RIKEN Saitama Japan Research into Artifacts Center for Engineering University of Tokyo Riken Tokyo Japan

In our current research, we are developing a holonomic mobile system which is capable of running over the step. This system realizes omni-directional motion on flat floor using special wheels and passes over non-flat ground in forward or backward direction using the passive suspension mechanism. The vehicle changes its body shape according to ground condition when it runs over the rough terrain. This paper proposes a new wheel control method according to the change of the vehicle's body shape for passing over the step. Our key idea is the modification of its kinematic model referring to the body configuration dynamically and using this model for wheel control of the vehicle. The controller can adjust the wheel control references when the vehicle passes over the rough terrain changing the body shape and can reduce the slippage and the rotation error of the wheels. The performance of our proposed method is experimented by computer simulations and experiments.

关键词： Wheels Mobile robots Shape control Kinematics Legged locomotion Actuators Automotive engineering Land vehicles Road vehicles Error correction

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Experimental analysis and computational simulation of the attribution of own actions by the multiple forward models

Experimental analysis and computational simulation of the at...

引用

IEEE International Conference on robotics and Biomimetics

作者： Mihoko Otake Kohei Arai Motoichiro Kato Takaki Maeda Yusuke Ikemoto Kuniaki Kawabata Toshihisa Takagi Hajime Asama Research into Artifacts Center for Engineering University of Tokyo Kashiwa Japan Department of Neuropsychiatry School of Medicine Keio University Shinju Japan Distributed Adaptive Robotics Research Unit RIKEN Wako Japan

ISBN: (纸本)9781424417612;1424417619

Human cognitive mechanisms have been studied for designing user-friendly interface. One of the key issues is the attribution of own actions to the intention of self or others. It is known that patients with schizophrenia who sometimes attribute their own actions to the intentions of others may perceive themselves as causing events which they do not in fact control, when they feel they are in voluntary movement. In this study, we administered similar experiments to normal subjects. We also conducted computational simulations through extending the multiple forward models, which successfully described the experimental results.

关键词： Computational modeling Analytical models Predictive models Computer displays Mice Man machine systems Humans Robots Biomimetics Computer interfaces

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Detection of object under outdoor environment with partial and whole templates

Detection of object under outdoor environment with partial a...

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： S. Kunimitsu K. Kawabata H. Asama T. Mishima Distributed Adaptive Robotics Research Unit RIKEN Wako Saitama Japan Research into Artifacts Center for Engineering University of Tokyo Meguro Tokyo Japan Graduate School of Science & Engineering Saitama University Saitama Saitama Japan

This paper proposes a technique of the extended template matching that detects the object with two-dimensional standard shape under the outdoor environment. Under the outdoor environment, the intensity distribution of the object changes variously by the change in the lighting condition and the change in the surface properties of the object. On the other hand, the conventional template matching assumes the intensity distribution of the object does not change. Therefore, it proposes the technique for evaluating plural similarities calculated with partial and whole templates by the linear discriminant function. The effectiveness of the proposed technique was confirmed by the detection experiment of the corner fitting of the container under the outdoor environment.

关键词： Object detection Containers Cranes Shape Lighting control Robots Image recognition Transportation Automatic control Adhesives

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Protein crystallizing state discrimination based on image processing

Protein crystallizing state discrimination based on image pr...

引用

IEEE Technical Exhibition Based Conference on robotics and Automation, TExCRA

作者： K. Kawabata K. Saitoh H. Asama M. Sugahara S. Kunimitsu T. Mishima M. Miyano Distributed Adaptive Robotics Research Unit RIKEN Wako Saitama Japan Suitama University Saukura Saitama Japan RACE University of Tokyo Meguro Tokyo Japan Harima Inst RIKEN Sayo Hyogo Japan

In recent years, the research related to automation of the crystallization process has been examined in several projects. In usual crystallization process, the researchers observe the crystallization states in the protein solution samples and record the state based on one's visual impression. This evaluation is very important but requires a great deal of time. It should be done efficiently, therefore we started to discuss a method to classify protein crystallization states using image processing. We develop a state discrimination method and examine its performance.

关键词： Proteins Crystallization Image processing Genomics Bioinformatics X-ray diffraction Robots Image texture analysis Performance analysis PROM

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