On the guidance, navigation and control of in-orbit space robotic missions: A survey and prospective vision
BM Moghaddam, R Chhabra - Acta Astronautica, 2021 - Elsevier
In the first part, this article presents an overview of Guidance, Navigation and Control (GNC)
methodologies developed for space manipulators to perform in-orbit robotic missions …
methodologies developed for space manipulators to perform in-orbit robotic missions …
A review on two-link flexible manipulators
This paper presents a survey in the field of two-link flexible manipulators (TLFMs). Two-link
flexible manipulators are more used in comparison with other types of flexible manipulators …
flexible manipulators are more used in comparison with other types of flexible manipulators …
Design and adaptive control of a kinematically redundant robot with enhanced trajectory tracking for climbing in tight spaces
This work investigates the design and adaptive control of a miniature robot with multi-modal
locomotion which has the ability to climb inside train bogies for inspection purposes. We …
locomotion which has the ability to climb inside train bogies for inspection purposes. We …
Trajectory planning and vibration control of translation flexible hinged plate based on optimization and reinforcement learning algorithm
Z Qiu, G Chen, X Zhang - Mechanical Systems and Signal Processing, 2022 - Elsevier
Aiming at the flexible hinged plate with translational motion, a hybrid control strategy
combining motion trajectory optimization and piezoelectric active control is developed …
combining motion trajectory optimization and piezoelectric active control is developed …
Reinforcement learning vibration control for a flexible hinged plate
Z Qiu, G Chen, X Zhang - Aerospace Science and Technology, 2021 - Elsevier
A reinforcement learning (RL) vibration control method for a flexible hinged plate is
developed, including combined bending and torsional vibrations. The experimental setup is …
developed, including combined bending and torsional vibrations. The experimental setup is …
SMC controlled chaotic trajectory tracking of two-link flexible manipulator with PID sliding surface
The objective of the paper is to design a controller for two-link flexible manipulator to track
the chaotic signal in presence of bounded disturbances and to regulate the tip deflection to …
the chaotic signal in presence of bounded disturbances and to regulate the tip deflection to …
A Self-Adaptive Double Q-Backstep** Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots
N He, Z Yang, X Fan, J Wu, Y Sui, Q Zhang - Actuators, 2023 - mdpi.com
When a mobile robot inspects tasks with complex requirements indoors, the traditional
backstep** method cannot guarantee the accuracy of the trajectory, leading to problems …
backstep** method cannot guarantee the accuracy of the trajectory, leading to problems …
An evolutionary intelligent control system for a flexible joints robot
In this paper, we present a model for a serial robotic system with flexible joints (RFJ) using
Euler–Lagrange equations, which integrates the oscillatory dynamics generated by the …
Euler–Lagrange equations, which integrates the oscillatory dynamics generated by the …
[PDF][PDF] Adaptive controller design for electric drive with variable parameters by Reinforcement Learning method
The paper presents a method for designing a neural speed controller with use of
Reinforcement Learning method. The controlled object is an electric drive with a …
Reinforcement Learning method. The controlled object is an electric drive with a …
Adaptive Nonlinear Model Predictive Horizon Using Deep Reinforcement Learning for Optimal Trajectory Planning
Y Al Younes, M Barczyk - Drones, 2022 - mdpi.com
This paper presents an adaptive trajectory planning approach for nonlinear dynamical
systems based on deep reinforcement learning (DRL). This methodology is applied to the …
systems based on deep reinforcement learning (DRL). This methodology is applied to the …