Impedance Modulation Control of a Lower-Limb Exoskeleton to Assist Sit-to-Stand Movements

2021 ◽  
pp. 1-20
Author(s):  
Weiguang Huo ◽  
Huiseok Moon ◽  
Mohamed Amine Alouane ◽  
Vincent Bonnet ◽  
Jian Huang ◽  
...  
2020 ◽  
Vol 101 ◽  
pp. 104496 ◽  
Author(s):  
Joel Hernández Hernández ◽  
Sergio Salazar Cruz ◽  
Ricardo López-Gutiérrez ◽  
Arturo González-Mendoza ◽  
Rogelio Lozano

Actuators ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 75
Author(s):  
Bernhard Penzlin ◽  
Lukas Bergmann ◽  
Yinbo Li ◽  
Linhong Ji ◽  
Steffen Leonhardt ◽  
...  

The lower limb exoskeleton investigated in this work actively supports the knee and hip and is intended to provide full motion support during gait. Parallel elastic actuators are integrated into the hip joints to improve the energy efficiency in gait. The prototype was tested in sit-to-stand and gait trials, in which the actuators were cascade-controlled with position trajectories. The compliant actuation of the hip in gait experiments proved to be more efficient; the peak torque was reduced by up to 31% and the RMS power was reduced by up to 36%.


2014 ◽  
Vol 541-542 ◽  
pp. 1150-1155 ◽  
Author(s):  
A. Norhafizan ◽  
R.A.R. Ghazilla ◽  
Vijayabaskar Kasi ◽  
Z. Taha ◽  
Bilal Hamid

Robotic exoskeleton system has been found to be an active area of study which being used in human power augmentation, human power assistance, robotic rehabilitation, and haptic interaction in virtual reality developed in recent robotic research. In recent years, the application of robotic exoskeleton has become more prominent as to provide alternative solutions for physically less incapable people (PLIP) support in their daily movements. Most common difficulties faced by PLIP are in sit-to-stand, ascending and descending staircases. Unlike industrial robots, the robotic exoskeleton systems need to consider a special design because they directly interact with human user. In the mechanical design of these systems, human and robotic suitable kinematics, wearer safety, human user comfort wearing, low inertia, and adaptability should be especially considered. Controllability, responsiveness, flexible and smooth motion generation, and safety should especially be considered in the controllers of exoskeleton systems. Furthermore, the controller should generate the motions in accordance with the human motion intention. This paper briefly reviews the lower-limb robotic exoskeleton systems. In the short review, it is focused to identify the brief history, basic concept, challenges, and future development of the robotic exoskeleton systems to assist the physically less incapable people (PLIP) in rising up, sitting, ascending and descending staircases. Furthermore, key technologies of lower-limb exoskeleton systems are reviewed by taking state-of-the-art robot as examples. Keywords: List the Robotic exoskeleton systems, rehabilitation robotics, man-machine intelligent system


Author(s):  
Ameya S. Chamnikar ◽  
Gaurav Patil ◽  
Mohammadreza Radmanesh ◽  
Manish Kumar

Population of the world above the age of 65 years is increasing rapidly. Aging causes weakening of human joints which increases constraints on mobility of the body. Sit-to-Stand (STS), an important part of Activities of Daily Living (ADL) is one of the motions that is affected because of weakened joints. With the lack of personal care there is going to be a need for devices which can assist the aging population in STS. We propose the use of a lower-limb exoskeleton as an assistive device. One of the main challenges in this area is to generate a human like reference trajectory for exoskeleton to follow. This paper proposes the use of Genetic Algorithm (GA), to generate reference trajectories for the joint angles for lower limb exoskeleton for STS transition. The fitness function for the GA presented here is constructed based on the fact that for a successful STS center of mass (COM) needs to stay in the area of support. After the trajectory generation a simple controller is proposed to control a 3 degrees of freedom exoskeleton. The dynamics of the system being controlled are modelled as an inverse 3 degrees of freedom pendulum and the equations are derived using the Euler-Lagrange equation. The highly non-linear dynamics are linearized using an input-output feedback linearization technique. A PD controller is presented for this linearized dynamic system and the validation of the controller is done using simulations. Simulation results show that GA successfully generates a human like trajectory which eliminates the need to use motion tracking system for measuring human trajectories.


Author(s):  
Wilian dos Santos ◽  
Samuel Lourenco ◽  
Adriano Siqueira ◽  
Polyana Ferreira Nunes

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