Biomechatronics
Our research group focuses on the mechanisms of biological systems, and conducts research on biological signal processing/analysis as well as their application to human-machine interfaces. In particular, we aim to support independent living for people with physical disabilities through the development of robots that can be controlled by biological signals.
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Prosthetic hand with sensory feedback
We are developing systems such as prosthetic hands that can be controlled via weak electrical potentials arising from muscle activities (electromyogram signals) and home appliance control systems using electroencephalogram signals. Accurate operation of these systems requires both advancements in AI technologies used internally and improvements in the user’s ability to control biological signals. Therefore, we are developing learning and classification models for biological signals and training methods in virtual environments. Furthermore, we are exploring sensory feedback mechanisms to closely replicate the human hand.