Abstract: |
A system and a method for hybrid brain computer interface for controlling a robotic swarm are disclosed. The system comprises: a control interface for defining a plurality of electrodes configured for accessing a plurality of brain signals associated with a plurality of channels located over a sensorimotor cortex; a processor, in operative communication with the control interface, configured to: train a machine learning model to associate a brain state with data defining a brain signal, decode a control signal of the plurality of brain signals to generate control data, apply the control data to the machine learning model to identify the brain state, and transmit instructions to a plurality of robotic devices to modify a density of the plurality of robotic devices based on the brain state; and an input device, in operable communication with the processor, for generating input data, the input data utilized by the processor to modify a position of the plurality of robotic devices. |
Inventor: |
Artemiadis, Panagiotis (Tempe, AZ, US); Karavas, Georgios Konstantinos (Tempe, AZ, US) |
Applicant: |
Artemiadis, Panagiotis (Tempe, AZ, US); Karavas, Georgios Konstantinos (Tempe, AZ, US) |
Face Assignee: |
Arizona Board of Regents on Behalf of Arizona State University (Tempe, AZ, US) |
Filed: |
2017-10-27 |
Issued: |
2020-02-20 |
Claims: |
20 |
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US20200057498
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1. A method, comprising:
(5)
(7)
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11. A device, comprising:
(4)
(3)
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16. A device, comprising:
(4)
(3)
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