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Updated: Jun 23, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Brain controlled robots.

Mitsuo Kawato1

  • 1Japan Science and Technology Agency ICORP, Computational Brain Project, and ATR Computational Neuroscience Laboratories, Hikaridai 2-2-2, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan.

HFSP Journal
|May 1, 2009
PubMed
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Researchers successfully controlled a humanoid robot using a monkey's brain signals transmitted across the Pacific. This brain-machine interface demonstrated real-time control, influencing both the robot and the monkey's brain activity.

Area of Science:

  • Neuroscience
  • Robotics
  • Biomedical Engineering

Background:

  • Advancements in brain-computer interfaces (BCI) enable complex control.
  • Previous BCIs have shown promise but often lack real-time, long-distance bidirectional communication.

Purpose of the Study:

  • To demonstrate real-time, transoceanic control of a humanoid robot using primate brain activity.
  • To investigate the influence of bidirectional communication on brain activity and voluntary control.

Main Methods:

  • Recording neural activity from a monkey's motor cortex.
  • Decoding neural signals in real-time to control a humanoid robot's locomotion.
  • Utilizing a conventional internet connection with optimized video-streaming to minimize delay.

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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

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Main Results:

  • Successful real-time control of the humanoid robot 'CB-i' in Japan by a monkey in the US.
  • The bidirectional communication encouraged the monkey's voluntary locomotion.
  • The monkey's brain activity was influenced by the robot's actions and visual feedback.

Conclusions:

  • Demonstrates the feasibility of long-distance, real-time brain-machine interfaces.
  • Highlights the potential for closed-loop systems where brain activity influences robotic action and vice-versa.
  • Opens avenues for future research in neuroprosthetics and human-robot interaction.