Intelligent escape of robotic systems: A survey of methodologies, applications, and challenges

J Li, SX Yang - Journal of Intelligent & Robotic Systems, 2023 - Springer
Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI)
techniques to enable robots with the capacity to intelligently react to potential dangers in …

The opening workspace control strategy of a novel manipulator-driven emission source microscopy system

X Liu, X Li, H Su, Y Zhao, SS Ge - ISA transactions, 2023 - Elsevier
Emission source microscopy (ESM) technique can be utilized for localization of
electromagnetic interference sources in the electronic systems, but its accuracy is limited by …

Review of wheeled mobile robot collision avoidance under unknown environment

Y Wang, X Li, J Zhang, S Li, Z Xu… - Science Progress, 2021 - journals.sagepub.com
Recently, the working scenes of the robot have been emerging as diversity and complexity
with gradually mature of robotic control technology. The challenge of robot adaptability …

Novel activation functions-based ZNN models for fixed-time solving dynamirc Sylvester equation

J Jin, J Zhu, J Gong, W Chen - Neural Computing and Applications, 2022 - Springer
A lot of research has validated that zeroing neural network (ZNN) model is a reliable tool for
solving time-varying problems. Generally, convergent performance is often one of the most …

A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking

J Jin, L Qiu - Journal of the Franklin Institute, 2022 - Elsevier
In order to find the theoretical solution of a dynamic Sylvester equation (DSE) in noisy
environment, a robust fast convergence zeroing neural network (RFCZNN) is proposed in …

A parameter-changing and complex-valued zeroing neural-network for finding solution of time-varying complex linear matrix equations in finite time

L Xiao, J Tao, J Dai, Y Wang, L Jia… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
For solving complex-valued linear matrix equations with time-varying coefficients (CV-LME-
TVC) in the complex field, this article proposes a parameter-changing and complex-valued …

Simultaneous obstacle avoidance and target tracking of multiple wheeled mobile robots with certified safety

X Li, Z Xu, S Li, Z Su, X Zhou - IEEE transactions on cybernetics, 2021 - ieeexplore.ieee.org
Collision avoidance plays a major part in the control of the wheeled mobile robot (WMR).
Most existing collision-avoidance methods mainly focus on a single WMR and …

New varying-parameter recursive neural networks for model-free kinematic control of redundant manipulators with limited measurements

N Tan, P Yu, F Ni - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Taking advantage of the computational efficacy, the recursive neural network (RNN) has
been successfully applied to the tracking control of redundant manipulators. However, the …

Zeroing neural network for time-varying linear equations with application to dynamic positioning

J Dai, Y Li, L Xiao, L Jia - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In this article, considering the effectiveness and efficiency in solving time-varying problems,
a new zeroing neural network (ZNN) is proposed to solve time-varying linear equations with …

An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator

C Xu, M Wang, G Chi, Q Liu - Neural Networks, 2022 - Elsevier
This paper proposes a novel constrained optimization model to address the loco-
manipulation problem of mobile robot with redundant manipulator for trajectory tracking. To …