Research and development of brain machine interfaces to control of rehabilitation and assistive robotic devices. Using EEG, we develop algorithms to extract relevant information of brain signals in the sensorimotor cortex while patients attempt or imagine movement with the affected limb. The output of those algorithms is translated into control signals for a robotic device, restoring daily living functions while allowing the damaged connections to recover.