Innovative AI/Robotics Technology
Kyutech iART Program

KyutechiART Program


Robotics Lab

Eiji Hayashi (Professor)
Department of Interdisciplinary Informatics

  • Autonomous Robot
  • Music support systems
  • Social Robot and Personal Robot
  • AI Robot, Deep Reinforcement Learning 
  • Field Robot and Factory Automation Robot in Food Process

Our Lab focuses on research such as Autonomous Robot, Self Learning Robot based on AI and Deep Reinforcement Learning, Social Robot and HRI, Factory Automation in the Food Process Industry. In Social Robot, we research the intelligent interacting robot based on human biology to improve human social life and service for the elderly, disability, etc. In Self Learning Robot and Autonomous Robot, we research robotics decision-making, self behavior, and action by learning and understanding human behavior and the context of human activity. In field robotics, we develop the robot to operate in problematic areas such as forest and beach, disaster areas. We also develop an agriculture robot such as the tomato harvesting robot based on AI and a self-learning approach. We are seeking talented students and researchers to be our team for research on robotics to better human life.

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Shuichi Enokida (Professor)
Department of Advanced Informatics

  • Cognitive Technology for realizing Intelligent Mobility
  • Pedestrian and vehicle detection using camera, all sky cameras and LiDAR

Summary of ongoing research
Our laboratory's goal is to develop intelligent mobility. In the society we live in today, cars and other vehicles allow us to travel farther, faster, safer and more comfortable. However, the number of traffic accidents has not yet been reduced to zero. Therefore, our laboratory has developed an information processing system that recognizes the driver and the surroundings of the car with an in-vehicle camera and laser radar, observes the driver's line of sight, and automatically detects pedestrians and road signs.


Hiroshi Ohtake (Associate Professor)

Department of Interdisciplinary Informatics

  • Flying robots
  • Robot operation by biological signals
  • intelligent control

We are currently conducting research on three topics.
The first is research on "flapping flying robots". Our goal is to realize autonomous flight control for a flapping robot.
The second is research on "analysis of biological information and its engineering application", which targets brain waves, intracerebral blood flow, and pulse waves, and operates various devices using those information.

Third, in our work on "intelligent control," we focus on a control technique called fuzzy model-based control. This control method is one of the nonlinear control methods in which a control object with nonlinear properties is represented by a fuzzy model of If-Then form, and a fuzzy controller is designed based on this model to achieve control.

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Jun Kobayashi (Associate Professor)
Department of Interdisciplinary Informatics

  • Application of Machine Learning
  • Development of Robotic System

We aim at realizing robotic systems beneficial to our society on the basis of control engineering and machine learning. Especially, we are currently focusing on applying reinforcement learning in order to control robots working in real world. Development of multi-modal mobile robot that adapts to working environments by changing its moving form is one of our projects.

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Kazuaki Tanaka (Associate Professor)
Department of Interdisciplinary Informatics

  • Mobile Robots, Virtual reality, Sensors, Medical support, Database

In our society, many computers are used invisibly. A computer system that works in a variety of devices is called an embedded system. Our laboratory designs and develops easy-to-use embedded systems. Some of the systems developed in our laboratory are already embedded in industrial machines. The goal of our research is to make the results of our research useful for visible products.

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Ryusuke Fujisawa (Associate Professor)
Department of Interdisciplinary Informatics

  • Swarm robotics, Swarm intelligence
  • VR system for small organisms
  • Field Robotics

In order to realize an autonomous decentralized swarming robot system, we are investigating the behavior of social insects. We study swarming robot systems through the understanding of the social structure of organisms.

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Keigo Kobayashi (Associate Professor)
Department of Interdisciplinary Informatics

  • Planning Algorithms for Intellectual Robots

Bipedal Robot
We are researching algorithms for more accurate and faster computations using geometry and mechanics with the goal of smooth walking without falling. To validate and improve these methods, we are using small humanoid robots (e.g. K-robo, etc.) to walk, climb stairs, hold a child in our arms, and learn Japanese calligraphy. In addition to the conventional walking without losing balance, we are also developing a new method to avoid falling over by stepping out of the stairs on a moment's notice, just like a human being.

Obstacle avoidance
A robot working in a factory environment is taught in advance how to avoid hitting a known obstacle. For a robot to be able to work in a human-like environment, it must be able to recognize obstacles and move accordingly.

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System Control Lab

Eitaku Nobuyama (Professor)
Department of Interdisciplinary Informatics

  • Advance Optmization Theory

Our research group is divided into two groups: System Control Group and Safety Sensor Systems Group. The first group conducts research on system control, theory and its applications, and the second group conducts research on preventive safety systems with a focus on image processing. What we do in the lab is to develop new methods and systems using high-speed 64-bit machines. Students assigned to the lab will study both system control and image processing before deciding which group they will work with. Students in our laboratory have been employed in a variety of companies, such as information-related companies and electronics companies, but more and more students in recent years have been employed in automobile-related companies.

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Noboru Sebe (Professor)
Department of Advance Informatics

  • Design of Uncertainty Robust Control Systems
  • Design of Fault Tolerant Control Systems
  • Application of Optimization Theory to Control Theory

In recent years, the theory of robust control has been developed, where desirable control can be achieved even when there is ambiguity in what you want to control. This means, for example, that you don't know in advance how many people will be in the car, but you can guarantee that the car will perform properly while driving. Since ambiguity is part of any system, robust control is very important.

We are conducting theoretical research on this kind of robust control.
It is also known that many control system design problems, including robust control, are very difficult to solve. We are also researching numerical optimization of control system design by using computers to solve such problems.
Furthermore, we are applying the theoretical results obtained to actual machines, such as automobiles.

Researcher Information

Masanobu Koga (Professor)
Department of Creative Informatics

  • Development of control system CAD
  • Design theory based on numerical computation
  • Scientific and technical computing infrastructure

We are developing a new concept of fundamental software that links mathematics and software engineering to maximize the increasing capabilities of computers. For example, numerical computation with guaranteed accuracy and multiple-length arithmetic (i.e., arithmetic beyond the number of orders of magnitude that computer hardware can directly handle) techniques make possible high-quality numerical computation with arbitrary precision. This research is expected to have a wide range of industrial applications, but we are currently conducting research focusing on "control" as the purpose of the application. Specifically, we are tackling the following issues from the standpoint of "maximizing the use of computers for problems related to actual system construction based on control system theory."

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Takashi Nakakuki (Professor)
Department of Interdisciplinary Informatics

  • Development of a molecular robot that integrates control

Engineering and DNA nanotechnology
When I was a researcher at Riken, I came across the theme of understanding biological phenomena as a system and its mechanisms. I was inspired by the idea that not only control engineering for mechatronics, but also control engineering for biological systems will be necessary in the future.

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Researcher Information: .jp / professors / iizuka / i3 / i3-1 / entry-2578.html

Hiroshi Ito (Professor)
Department of Interdisciplinary Informatics

The Laboratory fosters various research programs on the fundamental theory and application of nonlinear and robust system design with special emphasis on problems arising in the areas of control, signal processing, manufacturing processes, aerospace vehicles and mechanical systems.

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