A User- and Slope-Adaptive Control Framework for a Walking Aid Robot

Walking aid robots have been developed for elderly people or patients facing difficulties while walking. However, most of them are designed only for flat ground, must rely on handles, and have drawbacks such as oscillation and lack of stability. The primary goal of this research is to improve the tr...

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Published inIEEE robotics and automation letters Vol. 9; no. 8; pp. 7310 - 7317
Main Authors Cho, Younggeol, Lorenzini, Marta, Fortuna, Andrea, Leonori, Mattia, Ajoudani, Arash
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract Walking aid robots have been developed for elderly people or patients facing difficulties while walking. However, most of them are designed only for flat ground, must rely on handles, and have drawbacks such as oscillation and lack of stability. The primary goal of this research is to improve the transparency and safety of a walking aid robot, addressing both flat and sloping terrains. To achieve this goal, we propose a novel variable admittance control strategy for an omnidirectional mobile platform by combining human motion recognition and a slope-adaptive approach. We design a vision system with a wide-angle camera to capture skeletal whole-body information at a close distance to recognize the walking direction. Accordingly, the damping values of the admittance controller are varied. In addition, these parameters are varied with respect to the slope angle of the ground, which is detected by the platform. We validated the controller performance with eleven healthy subjects performing two experiments on both flat and sloping terrains. Three admittance controllers are compared, with fixed parameters, variable damping by Cartesian velocity, and variable damping by walking direction. Experimental results show the advantages of the variable admittance control based on walking direction, which ensures high transparency and smoothness on both flat and sloping terrains.
AbstractList Walking aid robots have been developed for elderly people or patients facing difficulties while walking. However, most of them are designed only for flat ground, must rely on handles, and have drawbacks such as oscillation and lack of stability. The primary goal of this research is to improve the transparency and safety of a walking aid robot, addressing both flat and sloping terrains. To achieve this goal, we propose a novel variable admittance control strategy for an omnidirectional mobile platform by combining human motion recognition and a slope-adaptive approach. We design a vision system with a wide-angle camera to capture skeletal whole-body information at a close distance to recognize the walking direction. Accordingly, the damping values of the admittance controller are varied. In addition, these parameters are varied with respect to the slope angle of the ground, which is detected by the platform. We validated the controller performance with eleven healthy subjects performing two experiments on both flat and sloping terrains. Three admittance controllers are compared, with fixed parameters, variable damping by Cartesian velocity, and variable damping by walking direction. Experimental results show the advantages of the variable admittance control based on walking direction, which ensures high transparency and smoothness on both flat and sloping terrains.
Author Leonori, Mattia
Cho, Younggeol
Ajoudani, Arash
Lorenzini, Marta
Fortuna, Andrea
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Snippet Walking aid robots have been developed for elderly people or patients facing difficulties while walking. However, most of them are designed only for flat...
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SubjectTerms Adaptive control
Adaptive systems
Assistive robots
Cameras
Controllers
Damping
Electrical impedance
Human activity recognition
Human motion
human motion recognition
Legged locomotion
Motion perception
Oscillators
Parameters
Robot control
Robot dynamics
Robot sensing systems
Safety
slope adaptive control
Smoothness
variable admittance control
Vision systems
Walking
Walking assistive robot
Title A User- and Slope-Adaptive Control Framework for a Walking Aid Robot
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