Akita University and Take Robo have developed three medical AI systems

Akita University and Take Robo have developed three medical AI systems aimed at enhancing rehabilitation for patients with motor impairments. These systems include:

  1. Gait Training Robot: Designed for patients with hemiplegia due to stroke, this robot assists in walking rehabilitation by using an exoskeleton that supports the affected leg. It mirrors the movements of the healthy leg, promoting natural gait patterns. Functional Electrical Stimulation (FES) is applied to stimulate muscle contractions, facilitating smoother movement. The system can be adapted for patients with paraplegia by attaching the exoskeleton to both legs, with pre-programmed walking motions to aid in gait restoration. Robocre
  2. Tabletop Upper Limb Rehabilitation Robot: This device targets arm rehabilitation for stroke patients. Equipped with omni-wheels and force sensors, it moves in response to the patient’s applied force, allowing for adjustable training loads based on the patient’s condition. The system incorporates augmented reality (AR) to enhance engagement, providing visual cues through AR goggles to guide movements, thereby increasing patient motivation during therapy. Robocre
  3. Seated Balance Device: Aimed at improving trunk stability, this device helps patients develop better balance and core strength, which are essential for daily activities and overall mobility. Robocre

These AI-driven systems are designed to alleviate the burden on therapists by providing consistent and tailored rehabilitation support, ultimately aiming to extend healthy life expectancy and improve the quality of life for patients. The development emphasizes compactness and affordability to facilitate widespread adoption in various medical facilities.

Robocre

By integrating advanced robotics and AI, Akita University and Take Robo are contributing to the evolution of rehabilitation practices, offering innovative solutions to address the challenges posed by an aging population and the increasing prevalence of motor impairments.

  • Related Posts

    LucidSim: Transforming Robotics Training with AI and Simulation

    November 13 2024 MIT CSAIL researchers have introduced LucidSim, a revolutionary system that uses generative AI and physics simulation to train robots in diverse and realistic virtual environments without relying on real-world data. LucidSim bridges the “sim-to-real gap” by generating…

    Leave a Reply

    Your email address will not be published. Required fields are marked *

    You Missed

    The Rise of Efficient AI Models: TinySwallow and Beyond

    The Rise of Efficient AI Models: TinySwallow and Beyond

    Philosophical and Historical Considerations on AI and Basic Income

    Philosophical and Historical Considerations on AI and Basic Income

    Understanding the AI Bubble: The DeepSeek Shock and Its Implications

    Understanding the AI Bubble: The DeepSeek Shock and Its Implications

    The DeepSeek Shock: How a Chinese AI Startup Disrupted the U.S. Stock Market

    The DeepSeek Shock: How a Chinese AI Startup Disrupted the U.S. Stock Market

    Neuromorphic Computing: Can It Play a Role in Mainstream AI Development?

    Neuromorphic Computing: Can It Play a Role in Mainstream AI Development?

    The AI Arms Race: Insights from Scale AI CEO Alexandr Wang

    The AI Arms Race: Insights from Scale AI CEO Alexandr Wang