Reinforcement Learning-based Control for an Upper Limb Rehabilitation Robot
Z Al-Jumaili, T Siddique, R Fareh… - 2023 Advances in …, 2023 - ieeexplore.ieee.org
The concept and development of a robot-assisted rehabilitation program using an actor-critic-
based deep reinforcement learning controller are detailed in this paper. This research aims …
based deep reinforcement learning controller are detailed in this paper. This research aims …
Trajectory tracking control of lower limb exoskeleton rehabilitation robot based on extended state observer
H Li, C Sun, J Zhang, W Chen - 2022 IEEE 17th Conference on …, 2022 - ieeexplore.ieee.org
This paper presents a linear active disturbance rejection control (LADRC) method for lower
limb exoskeleton rehabilitation robot. Because the lower limb exoskeleton control system …
limb exoskeleton rehabilitation robot. Because the lower limb exoskeleton control system …
Bl-Nonlinear Model Predictive Control Design: A Case Study on Wrist Rehabilitation Robot
H Ahmadian, HA Talebi, I Sharifi - 2022 10th RSI International …, 2022 - ieeexplore.ieee.org
To maximize the benefits of robot rehabilitation and increase patient involvement in their
treatment, control algorithms must be improved. While carrying out the movement, the model …
treatment, control algorithms must be improved. While carrying out the movement, the model …
Particle Swarm Optimization/PID-Computed Torque Control for a Manipulator
H Badkoobehhezaveh… - … and Information in …, 2022 - asmedigitalcollection.asme.org
Dynamic modelling and motion control of a newly developed 5-DOF robot manipulator is
presented here. Optimized PID gains are obtained using PSO (Particle Swarm Optimization) …
presented here. Optimized PID gains are obtained using PSO (Particle Swarm Optimization) …
Distributed generators optimal placement and sizing in power systems
NA Ahmed, MF AlHajri - 2019 IEEE 6th International …, 2019 - ieeexplore.ieee.org
This paper presents the optimal distributed generators (DG) placement and sizing in a
power system using genetic algorithm (GA) and particle swarm optimization (PSO) …
power system using genetic algorithm (GA) and particle swarm optimization (PSO) …
Modified Mutated Firefly Algorithm
AO Gamao, BD Gerardo… - 2019 IEEE 6th …, 2019 - ieeexplore.ieee.org
The strength of the Firefly algorithm depends on the attractiveness of fireflies with lesser
intensity towards the superior firefly with brighter intensity. The mutated firefly algorithm …
intensity towards the superior firefly with brighter intensity. The mutated firefly algorithm …
Design and Comparative Validation of Antipodal Vivaldi Antenna using Periodic Elliptical-Slots with Extended Triangular-shaped as Dielectric lens for Microwave …
This paper presents the novel design of an ultrawideband (UWB) antipodal Vivaldi antenna
using periodic elliptical slots (PES-AVA) for microwave and radar imaging applications …
using periodic elliptical slots (PES-AVA) for microwave and radar imaging applications …
Auto-Sintonização de Controladores PID através de métodos de Otimização Simplex
AGS Calçada - 2022 - repositorio.ipl.pt
No contexto atual, a procura por a melhoria contínua nas diversas áreas da ciência e do
meio industrial é uma necessidade absoluta. Nesse sentido, e de forma particular na área …
meio industrial é uma necessidade absoluta. Nesse sentido, e de forma particular na área …
Improvement of Particle Swarm Optimization in Multi-Robot Trajectory Motion Coordination
In swarm robotics, motion coordination is being viewed as a whole system consists of
multiple robots each with different velocity and path being optimized. This research focus on …
multiple robots each with different velocity and path being optimized. This research focus on …
PID Controller Optimization of Teleoperated 2DOF Robot Manipulator Using Artificial Bee Colony Algorithm
Robotics and artificial intelligence are the basic building blocks for industry revolution 4.0.
The intelligent optimization techniques have been recently used to solve complex …
The intelligent optimization techniques have been recently used to solve complex …