Creating robotic systems that can reduce human labor by learning, reasoning, and autonomously executing tasks like human
Advancing the accessibility and efficacy of neuromotor rehabilitation requires new technology that enables robust and accurate measurements of human behavior during everyday activities in real-world conditions.
This project aims to create a mobility assisting robotic system for visually impaired people. We convey human-centered development: developing the functionalities of the robots based on the items identified by the interviews with guide dog users and trainers. The project is an integration of multiple fields of studies such as quadruped robot control, perception, navigation, decision making, and human-robot interaction.
This work focuses on predicting the motion of a human operator by using different sensing modalities. For this project, the lab has been collaborating with Honda Motor Corporation, Japan. The work focuses on using bioelectrical signals like EMG and other sensing modalities to continuously predict human joint mechanics.
