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Related Experiment Video

Updated: May 25, 2026

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

Published on: June 7, 2024

A lower-limb power-assist robot with perception-assist.

Yoshiaki Hayashi¹, Kazuo Kiguchi

¹Dept. Advanced Technology Fusion, Saga University, Saga, Japan. hayashi@me.saga-u.ac.jp

IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]

|January 26, 2012

Summary

This study introduces a perception-assist system for lower-limb exoskeleton robots to aid physically weak individuals. The system enhances walking stability by modifying motion and preventing falls using Zero Moment Point control.

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Area of Science:

Robotics
Biomechanics
Assistive Technology

Background:

Physically weak individuals, including the elderly, often require assistance with daily mobility.
Existing power-assist robots primarily focus on motion support, sometimes neglecting environmental perception challenges.
Deteriorated environmental perception can hinder the effectiveness and safety of assistive robotic devices.

Purpose of the Study:

To propose a novel perception-assist system for lower-limb power-assist exoskeleton robots.
To enhance both user motion and environmental interaction for individuals with physical weaknesses.
To improve walking stability and prevent falls in users of exoskeleton robots.

Main Methods:

Developed a perception-assist system integrated with a lower-limb exoskeleton robot.

Related Experiment Videos

Last Updated: May 25, 2026

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

Published on: June 7, 2024

Utilized electromyography (EMG) signals to estimate user motion intention for power assistance.

Implemented a fall prevention mechanism using Zero Moment Point (ZMP) analysis to modify user motion.

Applied modification forces to user's motion when potential dangerous situations are detected.

Main Results:

The perception-assist system successfully modified user motion to improve walking stability.
The Zero Moment Point (ZMP) control effectively prevented falls during assisted walking.
Experimental evaluations demonstrated the effectiveness of the proposed perception-assist method.

Conclusions:

The proposed perception-assist system enhances the safety and functionality of lower-limb exoskeleton robots for physically weak individuals.
Integrating motion assistance with perception-based fall prevention improves user mobility and reduces fall risks.
This approach offers a promising solution for improving the daily lives of individuals requiring mobility assistance.