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

Fuente: arXiv
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Main Authors: Chen, Chi-Sheng, Wang, Wei-Sheng
Format: Preprint
Published: 2024
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author Chen, Chi-Sheng
Wang, Wei-Sheng
author_facet Chen, Chi-Sheng
Wang, Wei-Sheng
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06414
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning
Chen, Chi-Sheng
Wang, Wei-Sheng
Robotics
Neurons and Cognition
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.
title Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning
topic Robotics
Neurons and Cognition
url https://arxiv.org/abs/2411.06414