Obstacle avoidance of mobile robots using modified artificial potential field algorithm
SMH Rostami, AK Sangaiah, J Wang, X Liu - EURASIP Journal on …, 2019 - Springer
In recent years, topics related to robotics have become one of the researching fields. In the
meantime, intelligent mobile robots have great acceptance, but the control and navigation of …
meantime, intelligent mobile robots have great acceptance, but the control and navigation of …
Design and experimental validation of a robust model predictive control for the optimal trajectory tracking of a small-scale autonomous bulldozer
Trajectory tracking of an unmanned ground vehicle (UGV) is essential due to its extensive
construction, agriculture, and military applications. In this paper, we propose an efficient …
construction, agriculture, and military applications. In this paper, we propose an efficient …
Adaptive immune fuzzy quasi-sliding mode control for leader–follower formation of wheeled mobile robots under uncertainties and disturbances with obstacle …
WJN Goto, D Wildgrube Bertol… - Engineering …, 2024 - emerald.com
Purpose This paper aims to propose a robust kinematic controller based on sliding mode
theory designed to solve the trajectory tracking problem and also the formation control using …
theory designed to solve the trajectory tracking problem and also the formation control using …
A novel motion planning algorithm for a three DoF foldable parallel compensation platform based on prediction and B-spline
C Wang, T Zhao, J Zhang, E Li, Y Zhao, K Li - Ocean Engineering, 2022 - Elsevier
Foldable parallel mechanisms are suitable to compensate for the motion of vessels due to
their compact structure, multidimensional motion, and large carrying capacity. However, the …
their compact structure, multidimensional motion, and large carrying capacity. However, the …
Motion-Tracking Control of Mobile Manipulation Robotic Systems Using Artificial Neural Networks for Manufacturing Applications
Robotic systems have experienced exponential growth in their utilization for manufacturing
applications over recent decades. Control systems responsible for executing desired robot …
applications over recent decades. Control systems responsible for executing desired robot …
Optimal ANFIS-FOPID with back-step** Controller design for wheeled Mobile Robot control
R Euldji, N Batel, R Rebhi, MR Skender - Journal of Control …, 2022 - ceai.srait.ro
This paper suggests a design of an optimal fractional adaptive Neuro-Fuzzy inference
system (ANFIS-FOPID) controller for dealing with the dynamics of the wheeled mobile robot …
system (ANFIS-FOPID) controller for dealing with the dynamics of the wheeled mobile robot …
UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm
Abstract Unmanned Aerial Vehicle (UAV) path planning is one of the core components of its
entire autonomous control system. The main challenge lies in efficiently obtaining an optimal …
entire autonomous control system. The main challenge lies in efficiently obtaining an optimal …
[PDF][PDF] Optimal backstep**-FOPID controller design for wheeled mobile robot
A design of an optimal backstep** fractional order proportional integral derivative (FOPID)
controller for handling the trajectory tracking problem of wheeled mobile robots (WMR) is …
controller for handling the trajectory tracking problem of wheeled mobile robots (WMR) is …
[PDF][PDF] Wheeled Mobile Robot Path Planning and Path Tracking Controller Algorithms: A Review.
The two major problems in wheeled mobile robot technology is path planning and path
tracking. The former evaluates and identifies an obstacle free path for a mobile robot to …
tracking. The former evaluates and identifies an obstacle free path for a mobile robot to …
[PDF][PDF] Optimal Design and Performance Comparison of a Combined ANFIS-PID with Back Step** Technique, Using Various Meta-Heuristic Algorithms to Solve …
R Euldji, N Batel, R Rebhi, G Lorenzini… - Journal Européen …, 2022 - researchgate.net
Accepted: 24 May 2022 The present investigation suggests a novel control technique that
merge the advantage of the adaptive Neuro-Fuzzy inference system (ANFIS) with the …
merge the advantage of the adaptive Neuro-Fuzzy inference system (ANFIS) with the …