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27 labs · 2 student voices
Other departments in Faculty of Engineering ›Faculties at Kyoto University ›
Jun Morimoto, Professor
0 student voices
The Learning Machines Lab studies methods that enable embodied machines to learn through experience and act better. For machines that move like people or robots, information is meaningful only when it is put to use in action. The lab conducts research using robot platforms such as humanoids, robot arms, and quadruped robots, together with computers equipped with many GPUs and large-scale parallel simulation.
Syuji Miyazaki, Lecturer
0 student voices
The Nonlinear Physics Division studies complex phenomena that appear in living and social systems, such as the nervous system of the brain, networks of people and cities, and molecular motors. Using methods such as nonequilibrium physics, statistical mechanics, nonlinear dynamics, chaotic dynamics, and the theory of stochastic processes, it aims to model and understand the underlying mathematical structures. This is the Nonlinear Dynamics and Computational Physics Group of Lecturer Miyazaki and Assistant Professor Harada. Faculty of the division carry out research and education together across groups.
Toshio Aoyagi, Professor
0 student voices
The Nonlinear Physics Division studies complex phenomena that appear in living and social systems, such as the nervous system of the brain, networks of people and cities, and molecular motors. Using methods such as nonequilibrium physics, statistical mechanics, nonlinear dynamics, chaotic dynamics, and the theory of stochastic processes, it aims to model and understand the underlying mathematical structures. This is the Theoretical Neuroscience and Mathematics of Nonequilibrium Systems Group of Professor Aoyagi, Professor Teramae, and Assistant Professor Tutu. Faculty of the division carry out research and education together across groups.
Hiroshi Fujiwara, Professor
0 student voices
The Computational Mechanics Lab takes on a wide range of phenomena, as well as inverse problems that underpin safe, secure, and healthy social life, through computational mechanics built on mathematics and numerical computation as its two pillars. Numerical simulation is a powerful way to understand mechanical phenomena, alongside theory and experiment. The lab also studies simulation methods themselves, examining their reliability and efficiency.
Satoshi Taguchi, Professor
0 student voices
The Applied Mathematical Sciences Lab studies the behavior of fluids that depart from local equilibrium from a mesoscopic standpoint. Focusing mainly on gas flows, the lab looks at nonequilibrium fluid phenomena that cannot be explained within the framework of conventional continuum theory alone. Through theoretical analysis and numerical simulation of kinetic equations, which describe collections of particles statistically, the lab aims to open up a new world of fluid dynamics.
Hisashi Kashima, Professor
0 student voices
The Collective Intelligence Systems Lab (Kashima-Takeuchi Lab) aims to advance the fundamental technologies of intelligent information processing, centered on artificial intelligence, and to apply them in the real world. The lab researches and develops statistical machine learning and data mining methods, and tackles important problems in a wide range of fields from the standpoint of data analysis. The lab also studies the methodology of human computation, in which humans and computers combine their strengths to solve difficult problems that computers cannot solve alone. In the graduate school, the lab accepts students in the Collective Intelligence Systems group of the Intelligence Science and Technology Course and the Applied Machine Learning group of the Data Science Course.
Nozomi Akashi, Program-Specific Associate Professor
0 student voices
The Intelligent Computing Lab is led by Project Associate Professor Akashi and Lecturer Fujii (formerly the Yamamoto Lab). Project Associate Professor Akashi studies information processing that uses the dynamics (motion) of various physical systems for computation, such as fluid ripples and the bodies of robots. Lecturer Fujii studies the area where combinatorial optimization, machine learning, and game theory intersect.
Tadahiro Taniguchi, Professor
0 student voices
The Symbol Emergence Systems Lab aims to build AI and robots that can understand the meaning of words in the real world and act accordingly. Through this, the lab also aims to understand humans and to create a future society in which people and machines live in harmony. Human language and conversation are also thought to be intelligent functions that society acquired through evolution and development. The lab studies not only individual cognition but also the emergence of communication through group learning.
Yuichi Nakamura, Professor
0 student voices
The Visual Media Lab studies intelligent information systems that support human communication, along with the high-performance networks that underpin them. The lab studies the basic theory, basic technology, and applications of media of many kinds: media that watch over people, teach them, connect people with one another, and notice things for them. Building on the processing and recognition of images, speech, and natural language, and on the understanding of human behavior this makes possible, the lab considers applications to educational and living environments and to remote communication.
Takayuki Kanda, Professor
0 student voices
The Human-Robot Interaction Lab continues to produce world-leading results in research on how people and robots relate to each other (HRI). The lab takes the broad view that any agent acting in physical space is a “robot,” and aims to realize “human-like robots” that coexist and cooperate with people. The lab conducts basic research in intelligent robotics, interaction, sensor networks, and artificial intelligence. It connects this work to applications in the service industry, elderly support, learning support, and healthcare.
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