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Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning

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arxiv 2411.06414 v4 pith:NXEXE3JJ submitted 2024-11-10 cs.RO q-bio.NC

classification cs.ROq-bio.NC
keywords controlroboticsystemframementalpsychoreal-timedeep
verification ladder T0 review T1 audit T2 compute T3 formal
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The Psycho Frame, a sophisticated system primarily used in Universal Century (U.C.) series mobile suits for NEWTYPE pilots, has evolved as an integral component in harnessing the latent potential of mental energy. Its ability to amplify and resonate with the pilot's psyche enables real-time mental control, creating unique applications such as psychomagnetic fields and sensory-based weaponry. This paper presents the development of a novel robotic control system inspired by the Psycho Frame, combining electroencephalography (EEG) and deep learning for real-time control of robotic systems. By capturing and interpreting brainwave data through EEG, the system extends human cognitive commands to robotic actions, reflecting the seamless synchronization of thought and machine, much like the Psyco Frame's integration with a Newtype pilot's mental faculties. This research demonstrates how modern AI techniques can expand the limits of human-machine interaction, potentially transcending traditional input methods and enabling a deeper, more intuitive control of complex robotic systems.

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  1. Large Cognition Model: Towards Pretrained EEG Foundation Model

    eess.SP 2025-02 conditional novelty 4.0 of 10

    LCM, a transformer EEG model combining contrastive alignment and masked reconstruction, reports state-of-the-art balanced accuracy on BCIC-2A and BCIC-2B.

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