148B AmaraBiomimetics in progress

The motion planning, control and tuning of a robotic assistance system can be done in a natural, human-like, way using human demonstration learning methods. The integration of these control methods with offline learning will give the system the ability to replicate everyday tasks such as feeding itself with its own arm. The system’s control loop will be activated by using electromyographic signals of the user’s residual movements.

Lead applicant