Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Brain-Computer Interface technology will be soon available to the general public. It would be to replace or compensate physical disability in the case of handicap. However, it would also be for all people looking for peaceful consciousness, to control environment from no other types of command but directly from the brain. Such a device that could be easily and quickly handled by untrained and novice users has been proposed by Mentalista. The company designed and trained a Brain-Computer Interface and in this paper, we propose a method to identify how such a device may be used to control a robot. The method proposes to identify the cooperative patterns that suit users’ states and robot’s abilities regarding the environment constraints. The Human-Machine Cooperation principles support the methodological approach.