An interdisciplinary approach of neurophysiology, robotics, and machine learning for research of human motor control and development of modern robotic solutions.
We are an interdisciplinary group of researchers joined together in NBR Lab who are using an integrative approach of neuromechanics, robotics, and machine learning to investigate human sensorimotor control and to develop modern robotic solutions.
Robustness and adaptations of human movement to the changing environment is crucial for efficient physical collaboration with other humans and robotic systems. By investigating the kinematics and dynamics of motion, activations of muscles, and brain signals we are developing computational models of whole-body motor behavior that help to elucidate the underlying neural mechanisms by which the central nervous system iteratively generates appropriate motor commands to ensure robust and stable motion. We are using these models to design biologically plausible solutions for a broad spectrum of robotic systems such as industrial robots, humanoids, exoskeletons and rehabilitation devices.
We publish results of our work in scientific journals and present our work at research conferences with topics ranging from neurophysiology, robotics, and machine learning.