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Assistive control of brain-control multiple robots

Weiming Chi, Ying Liu, Zhenge Yang, Luzheng Bi

Year
2021
Citations
2
Access
Open access

Abstract

Abstract Brain-controlled robots have important application values in assisting persons with disabilities. However, few studies focus on brain-controlled multiple robots. This paper proposes an assistive controller based on model prediction with the leader-follower formation strategy for developing brain-controlled multiple robots. The controller is composed of a leader controller and a follower controller. The experimental results of brain-controlled multiple robots show that the proposed method can track the user’s lateral and longitudinal control intention and maintain the stability of the multi-robot formation while ensuring the safety of brain-controlled multiple robots. This work can advance the research and development of brain-controlled multiple robots.

Keywords

RobotController (irrigation)Computer scienceControl (management)Robot controlControl engineeringMobile robotArtificial intelligenceEngineering

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