[HTML][HTML] A review: On path planning strategies for navigation of mobile robot

BK Patle, A Pandey, DRK Parhi, A Jagadeesh - Defence Technology, 2019 - Elsevier
This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

A review on path planning and obstacle avoidance algorithms for autonomous mobile robots

ANA Rafai, N Adzhar, NI Jaini - Journal of Robotics, 2022 - Wiley Online Library
Mobile robots have been widely used in various sectors in the last decade. A mobile robot
could autonomously navigate in any environment, both static and dynamic. As a result …

Neuroadaptive performance guaranteed control for multiagent systems with power integrators and unknown measurement sensitivity

H Liang, Z Du, T Huang, Y Pan - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article investigates the adaptive performance guaranteed tracking control problem for
multiagent systems (MASs) with power integrators and measurement sensitivity. Different …

Admittance-based controller design for physical human–robot interaction in the constrained task space

W He, C Xue, X Yu, Z Li, C Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, an admittance-based controller for physical human-robot interaction (pHRI) is
presented to perform the coordinated operation in the constrained task space. An …

Adaptive fuzzy neural network control for a constrained robot using impedance learning

W He, Y Dong - IEEE transactions on neural networks and …, 2017 - ieeexplore.ieee.org
This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

Reinforcement learning control of a flexible two-link manipulator: An experimental investigation

W He, H Gao, C Zhou, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties

Y Ren, Z Zhao, C Zhang, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

Adaptive neural network control of a flexible spacecraft subject to input nonlinearity and asymmetric output constraint

Y Liu, X Chen, Y Wu, H Cai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article focuses on the vibration reducing and angle tracking problems of a flexible
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …

Adaptive neural control for robotic manipulators with output constraints and uncertainties

S Zhang, Y Dong, Y Ouyang, Z Yin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …

Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing

Y Zhu, J Qiao, L Guo - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The requirements for the control performances of space manipulators, especially for the
stability and accuracy of the attitude control systems of the base spacecrafts, are ever …