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This paper describes the development of a teleoperation control framework of multiple coordinated mobile robots through a brain–machine interface (BMI). Utilizing the remote images of an environment, transferred to the human operator, visual compressive feedback loop produces imagine errors in nonvector space, where images are considered as a set without image processing of feature extraction. Given...
In order to extend the control capacity of human brain, this paper describes an feasible path planing and path tracking approach based on Bezier curve for the robot controlled by brain-actuated teleoperation. The BCI (Brain Computer Interface) using steady stare visual evoked potentials (SSVEP) analyzes the EEG data such that the human intentions can be recognized and used to control a robot tracking...
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