Novel Predictive Controller for Robotic Exoskeletons

The use of robotic exoskeletons to augment stroke rehabilitation is an exciting area and one that is receiving much attention due to our ageing population. Existing controllers for such devices rely on predefined movement sequences or simplified force control feedback to take a patient through a range of motion. Our novel controller will use muscle excitations derived from EMG and an underlying model of muscle synergies to establish ‘intention of movement’ to control an exoskeleton device.


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