Chapter 69 — Physical Human-Robot Interaction

Reach and grasp by people with tetraplegia using a neurally-controlled robotic arm

The authors have shown that people with long-standing tetraplegia can use a neural interface system to move and click a computer cursor and to control physical devices. One of the study participants, implanted with the sensor five years earlier, also used a robotic arm to drink coffee from a bottle. Although robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, the results demonstrate the feasibility for people with tetraplegia, years after injury to the central nervous system, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.
Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y. Masse, John D. Simeral, Jörn Vogel, Sami Haddadin, Jie Liu, Sydney S. Cash, Patrick van der Smagt, John P. Donoghue