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

2024, 2, 22

M1 Midterm Presentation

Mr. Azuma, Ms. Takami, and Mr. Mamiya gave interim master's presentations. Let's continue your research in preparation for next year's master's thesis presentation. Thank you to everyone at M1 for your hard work.

2024, 2, 16

DAS 36th

Ms. Wada gave a presentation at the DAS 36th. She learned a lot from her first conference presentation. Ms. Wada, thank you for your hard work.

This year's news



Associate Professor
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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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