Powering the Future - 立命館大学

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From thesis of Sumito Nagasawa, University of Tsukuba Protein Sugar chain Lipid bilayer Cell exterior Cell interior Parts suppliers Truck terminals Assembly factories Ritsumeikan University College of Information Science and Engineering Research/Development Areas Development and Application of Computational Intelligent Technology Professor / Ikuko NISHIKAWA, Associate Professor / Tadahiro TANIGUCHI, Lecturer / Kazutoshi SAKAKIBARA Computational intelligence technology is developed and applied to various systems in engineering, biology and community, through the modeling, simulation and analysis for the prediction, classification, learning, and optimization. Our present target problems include the following. 1. Bioinformatics: Protein glycosylation is predicted by machine learning to elucidate the mechanisms, followed by the biological experiments. A joint research with a bioinformatics group. 2. Brain simulation : A whole brain of an invertebrate is modeled based on the latest multi-scale experimental data, and simulated on the supercomputer, aiming to understand the adaptation mechanism in the brain. A joint project with a neuroscience group. 3. Optimization and scheduling in the transportation system : Heuristic and exact approaches are used for the optimal transportation by an adaptive scheduling of the production, storage, allocation and routing. 4. Decentralized Development of intelligent systems technology and application of such technology in bioscience infor-matics, autonomous robots, logistics, and a variety of other fields autonomous network of the renewable energy : Configuring autonomous distribution power networks through generation of recyclable energy A stable and efficient energy net- Brain simulation and elucidation of Development of heart function simulator and analytical behavioral expression mechanisms in silk worm moths tools work is analyzed based on the real Creation of logistics planning systems using truck terminals data. Emergent behavior and learning and Elucidation of O-linked sugar chain modification mechanisms in proteins interactive learning in autonomous robots Research/Development Areas Developping Interfaces and Robots Supporting Human Life by Interactive Intelligence Associate Professor / Nobutaka SHIMADA Gestural and Perceptual Interface Including our real-time 3-D hand detection and gesture estimation enable us to operate devices more intuitively. Indoor Surveillance System This system captures human activities in a changing indoor environment through a TV camera and recognizes them with computer vision. It can automatically detect objects a person places on or removes from a table. A user can ask “Who left this?” or “Who took the book from here?” through verbal and gestural interaction. Secretary Robot This robot has ability to move around autonomously, identify human faces and engage in verbal conversations. It behaves as a physical agent mediating between a user and the indoor surveillance system. The goal is to keep information shared among people consistent while discovering and resolving any mutual conflicts about their agenda by verbal interaction. ■Dialog with a robot ■Indoor surveillance system Research/Development Areas Human Visual Information Processing and Color Engineering Using Psychophysics Professor / Hiroyuki SHINODA, Assistant Professor /Hideki YAMAGUCHI We investigate the characteristics of human vision systems, and apply the acquired knowledge to color science and visual environment engineering. Understanding of human characteristics is important for evaluating the functionality and comfortability of industrial products or visual environments. Light that is input to the visual system is “physical”, whereas sight, which is the final output, is “psychological”, so we use psychophysical methods to examine the functions and relationships that link the two. So far, we have contributed to the creation of many products, including UDcolor ® , software for the colorblind, CRS ® , a lighting system for the elderly, and Feu ® , a brightness index for visual environment. In addition, we are pursuing various research topics such as research into the motion picture sickness, the development of methods to measure eye strain, the development of methods to easily measure glaucoma, the visual acuity controlled at the level of the brain, evaluating legibility by measuring eye movement, and color management that does not require colorimeter. http://www.hvcs.ci.ritsumei.ac.jp Research/Development Areas Robots that Dance Intelligently by Measuring People and Environments Professor / Yoshiaki SHIRAI Our research goal is to make various intelligent systems to support human daily life. Service Robots We seek to develop service robots that bring items to the user on request. More specifically, when asked verbally, the robot moves to the fridge, opens the door, finds the requested object, grasps it, and brings it to the user. If the robot has difficulties finding an item, it interacts with the user through speech. Sign Language Recognition We are reseraching translation of sign language for communication with hearing impared. First, features of hand shape and motion are extracted from motion pictures, and they are recognized through reference to word models that are learned before hand. The system also recognizes face expressions for better interpretation. In addition, we are also working on a golf swing diagnosis system. Arm robot 45 Ritsumeikan University Powering the Future
Research/Development Areas Achieving Remote Cooperation and Digital Museums Using Communications that Make You Feel as if You Are There Research/Development Areas Intelligent Techniques for Increasing the Entertainment Value of Computer Games Professor / Hiromi T. TANAKA Virtual reality is cited within the field of IT as the “grand challenge of the 21st century”, and is promoting the visual, aural, and tactile “pursuit of reality” to close the gap with the real world. Whereupon, in our lab, we are aiming to create a virtual space that enables various sensations and tactile information to be seen and felt using “cyber groups”, such as softness and holding something in the hand for pliable bodies that are soft and malleable such as human organs and cloth based on 3D CG and image recognition (computer vision) technology. In addition, we are also conducting research into achieving “remote cooperation” through ultra-realistic haptic communications that share such “tactile” virtual spaces via networks. Currently, we are pursuing state-funded projects such as “remote low-invasive surgical training” and “achieving remote cooperation digital museums with a real sense of being there” based on this research success. Professor / Ruck THAWONMAS, Frank RINALDO Artificial Intelligence Applications Here we research applications of artificial intelligence (AI) techniques, such as machine learning, to automatic game controllers and non-player characters (NPCs). In addition, we aim at being the first at the related international AI contests. We came first at the Ms. Pac-Man Controller Contest and second at the BotPrize 2009 Contest, both held in IEEE CIG 2009. Community Mining In order to win the online-game market, it is essential to create contents that suit with the users. Current main research projects include “visualization of player movements”, “bot detection with artifi cial intelligence techniques”, and “prediction of game retirement timings”. Automatic Comic Generation The main aim here is to assist players recall their play memory and to use comic for promoting communication among them. We are currently optimizing the following algorithms: “frame extraction”, “page layout”, and “camerawork control”. College of I nformation Science and Engineering Research/Development Areas Theoretical and Experimental Research to Develop Robot Intelligence Professor / Tsuneo YOSHIKAWA, Assistant Professor / Seiji SUGIYAMA We are researching how to make robots intelligent from both the theoretical and experimental aspects. Our specific themes are described below. 1. Robot hand grasping and rotation skills: To research the implementation of high-level skilled work using flexible, multifingered robot hands. 2. Humanoid robots: Research to achieve stable walking abilities on uneven surfaces, and to achieve various tasks (golf, carrying luggage, etc.) concomitant with mobility. 3. Intelligent movement of mobile robots: Research into shelving and removing books, and cooperating with humans in carrying luggage, etc., using mobile wheeled robots equipped with six free-moving arms, cameras, laser range finders, and other sensors. 4. Myoelectric arms: To research control methods to improve the work performance of myoelectric arms. 5. Artificial force sensation technology: To research methods of teaching tasks to robots and evaluating human dexterity based on presenting tasks by developing virtual contact maps and virtual space for the visually impaired. Language Supervisors English language teaching, LZ Reading and Schema Theory Associate Professor / Harry DAVER Computer-assisted language learning (CALL), Intercultural Communication Professor / Kazunori NOZAWA Corpus linguistics, English language teaching Professor / Naoki SUGIMORI Theories of second language acquisition, English language teaching Professor / Naoki SUGINO Ritsumeikan University Powering the Future 46
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Powering the Future - 立命館大学

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