Learning Control Sharing Strategies for Assistive Cyber-physical Systems

Assistive machines, like robot arms mounted on powered wheelchairs, promote independence and
ability in those with severe motor impairments. Users of these assistive robots can teleoperate their
devices to perform activities of daily living like eating and self care. However, as these machines
become more capable, they often also become more complex. Traditional teleoperation interfaces
cover only a portion of the control space, and it is necessary to switch between di erent control
modes to access the full control space.