Kobayashi and Hayakawa 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
- Image processing : Technology to realize the function of the human eye with computers
- Control and learning : Technology to move or maintain an object in a desired state, and technology to deal with an uncertain or unknown object based on experienced information
- Mechatronics: Technology that integrates mechanical and electronic engineering and uses computers to control machines
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
Optimal action selection to estimate the aperture of bag by force-torque sensor
N. Miyazawa, D. Kato, Y. Kobayashi, K. Hara and D. Usui
Advanced Robotics, 2024
Grid-Based Estimation of Transformation Between Partial Relationships Using a Genetic Algorithm
S. Nakamura, Y. Kobayashi and T. Matsuura
Journal of Robotics and Mechatronics, 2022
Other papers
Latest News
2024, 11, 12
B4 Midterm Presentation
B4 students made Midterm presentations. Thanks to preparing for midterm presentations, they could review their research again. Refering to professor's and student's advices, Let's continue graduation research!
2024, 11, 9
Alumni Reunion
We got together with laboratory alumnus after the first day of Techno Festa.
This year's news
Members
KOBAYASHI Yuichi
Associate Professor
HAYAKAWA Tomohiro
Assistant Professor
ARJONILLA GARCIA Paco
Researcher
KATO Daisuke
D3
Other members
Applicants
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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Access
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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