Kobayashi Laboratory

Learning and Sensor Information Processing for Intelligent Robots

In this laboratory, we are conducting research on recognition, motion generation and control, and sensor information processing (image processing) for intelligent robots. The basic techniques for our research are

Recent Research

Development of a motor learning model that can explain the reuse of partially motor acquired skills in the past.

We are developing a motor learning model that explains the process of reusing partial dynamics in previously acquired controllers by introducing a mechanism, "translation estimation between mappings", into a motor learning model that estimates dependencies between various senses.

Automatic Generation of Control Rules for Musculoskeletal Arm Systems Based on the Estimation of Dependencies between Heterogeneous Sensors

We are developing a method for motion control that includes the process of identifying dependencies between different sensors and estimating "which sensor information can be used to achieve the desired control", considering a system that can perform redundant and multimodal sensing.

Other Research

Recent papers

Robot Navigation Based on Predicting of Human Interaction and its Reproducible Evaluation in a Densely Crowded Environment

Yuichi Kobayashi, Takeshi Sugimoto, Kazuhito Tanaka, Yuki Shimomura, Francisco J. Arjonilla Garcia, Chyon Hae Kim, Hidenori Yabushita, Takahiro Toda
International Journal of Social Robotics, 2021

Supervised learning of mapping from sensor space to chained form for unknown non-holonomic driftless systems

Francisco Jesús Arjonilla García , Yuichi Kobayashi
Industrial Robot, 2021
Other papers

Latest News

2022, 6, 3

Robomech2022 in Sapporo

Mr. Yagi and Mr. Tsuchiya participated in Robomech2022 held in Sapporo, Japan, and presented their research in Robomech. It was a very valuable experience for them to present their research in a place where people from various fields gathered. I hope you will make the most of this experience and do your best in the future. Thank you very much for your hard work, Mr. Yagi and Mr. Tsuchiya.

2022, 3, 2

M1 midterm presentation

Mr. Tanaka, Mr. Yagi, and Ms. Miki gave midterm presentations of their master's thesis, and I believe they were able to solidify the basic aspects of their research after a year of work. We look forward to seeing what the research will bring in the next year.

This year's news



Associate Professor






Other members


We are working on image processing, multimedia, and robot recognition and control, and if you are interested in our laboratory, please feel free to contact us.

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From Bus Terminal No. 15 or 16 at the North Exit of JR Tokai Hamamatsu Station, get off at "Shizuoka University" (about 20 minutes).

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