Associate Professor
ITO Satoshi |
 |
Title |
Professor |
Department |
Department of Mechanical Engineering |
Course |
Intelligent Mechanical Engineering Course |
Research fields
Human motions achieve their goals using a variety of motion patterns even in the variable purposes or environmental conditions. What is a principle to produce such flexible motion patterns? It will require the functions like learning or adaptation as well as the motion control mechanism. Aiming at realizing machines performing intelligent behaviors like humans, I am tackling the following research themes:
- Motion measurement and its analysis
Human motions are measured to clarify some of their features in order to derive some hopeful ideas on the motor generation.
(Hand motion estimation from the EMG signals, Motion measurement of human upright standings, motor leanings and visual perception)
- Modeling the biological behaviors
Spatio-temporal patterns generation of biological motions are described as the differential equation systems to give a mathematical explanation of their adaptive phenomena.
- Control systems' analysis
A control method for the specific motion system is proposed and its behaviors, stabilities, and physical meanings are analyzed.
(Relative phase control for coupled oscillator systems, hand grasp considering the internal force)
- Robot control and its applications
Robot systems are developed to confirm the theoretical analysis, or for wholly application in the actual human society.
(biped robot, skateboard robot)
 |
 |
Slope-descending walk of biped robot |
Hand motion estimation from EMG signals |
Research Keywords
human informatics, interigent robotics, biocybenernetics
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