Lower-limb prostheses and exoskeletons with energy regeneration: Mechatronic design and optimization review

B Laschowski, J McPhee… - Journal of …, 2019 - asmedigitalcollection.asme.org
Lower-limb biomechatronic devices (ie, prostheses and exoskeletons) depend upon
onboard batteries to power wearable sensors, actuators, and microprocessors, therein …

Energy-efficient actuator design principles for robotic leg prostheses and exoskeletons: A review of series elasticity and backdrivability

B Laschowski, J McPhee - Journal of …, 2023 - asmedigitalcollection.asme.org
Robotic leg prostheses and exoskeletons have traditionally been designed using highly-
geared motor-transmission systems that minimally exploit the passive dynamics of human …

Adaptive neural network force tracking control of flexible joint robot with an uncertain environment

X Yu, S Liu, S Zhang, W He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a control scheme of the flexible joint robot contacting with an unknown
environment is proposed to realize force tracking. Tracking performance is ensured by …

Adaptive neural control for gait coordination of a lower limb prosthesis

X Ma, J Xu, H Fang, Y Lv, X Zhang - International Journal of Mechanical …, 2022 - Elsevier
Because of distinct differences in structure and drive, the lower limb amputee that walks with
prosthesis forms a heterogeneous coupled dynamic system. The strongly coupled …

Voltage stability assessment using multi-objective biogeography-based subset selection

H Mohammadi, G Khademi, M Dehghani… - International Journal of …, 2018 - Elsevier
We propose a method for voltage stability assessment of power systems using a support
vector machine (SVM). We input the information from measurement signals to the SVM. The …

Hybrid position/force control of stewart manipulator using extended adaptive fuzzy sliding mode controller (E-AFSMC)

H Navvabi, AHD Markazi - ISA transactions, 2019 - Elsevier
A new and effective control method is proposed for the hybrid position/force control of a
Stewart Manipulator (SM). The control approach can be divided into the two parts, the first is …

Convolutional neural networks for environmentally aware locomotion mode recognition of lower-limb amputees

G Khademi, D Simon - Dynamic Systems and …, 2019 - asmedigitalcollection.asme.org
Powered lower-limb prostheses feature a high-level intelligent control system, referred to as
locomotion mode recognition (LMR), which enables seamless amputee-prosthesis …

Simulation of stand-to-sit biomechanics for robotic exoskeletons and prostheses with energy regeneration

B Laschowski, RS Razavian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have
focused on level-ground walking. Here we analyzed the lower-limb joint mechanical power …

Repetitive impedance learning-based physically human–robot interactive control

T Sun, J Yang, Y Pan, H Yu - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Model-based impedance learning control can provide variable impedance regulation for
robots through online impedance learning without interaction force sensing. However, the …

Gradient-based multi-objective feature selection for gait mode recognition of transfemoral amputees

G Khademi, H Mohammadi, D Simon - Sensors, 2019 - mdpi.com
One control challenge in prosthetic legs is seamless transition from one gait mode to
another. User intent recognition (UIR) is a high-level controller that tells a low-level controller …