Prescribed-time zero-error active disturbance rejection control for uncertain wheeled mobile robots subject to skidding and slip**
This paper investigates the prescribed-time control problem for a class of wheeled mobile
robot (WMR) subject to nonparametric skidding, slip** and input disturbance in an inner …
robot (WMR) subject to nonparametric skidding, slip** and input disturbance in an inner …
A clutter-resistant SLAM algorithm for autonomous guided vehicles in dynamic industrial environment
W Wang, Y Wu, Z Jiang, J Qi - IEEE Access, 2020 - ieeexplore.ieee.org
In dynamic and complicated industrial environments, feature-based SLAM based on laser
scanner is a popular choice to achieve localization of autonomous guided vehicles …
scanner is a popular choice to achieve localization of autonomous guided vehicles …
Adaptive Unscented Kalman Filter for Robot Navigation Problem (Adaptive Unscented Kalman Filter Using Incorporating Intuitionistic Fuzzy Logic for Concurrent …
The navigation of a mobile robot is a very important issue, especially for an autonomous
mobile robot. A robot autonomously can track the area by interpreting the arena, building an …
mobile robot. A robot autonomously can track the area by interpreting the arena, building an …
A study on test method for evaluation of mobile robot trajectory estimation
S Lee, S Oh - 2021 21st International Conference on Control …, 2021 - ieeexplore.ieee.org
Indoor mobile robot location is the most important technology for service robots.
Conventionally, there are various methods for estimating the robot trajectory to evaluate …
Conventionally, there are various methods for estimating the robot trajectory to evaluate …
[PDF][PDF] Simulation of simultaneous localization and map** using point cloud data
S Abdul-Rahman, MS Abd Razak… - Indones. J. Electr. Eng …, 2019 - academia.edu
This paper presents a simulation study on Simultaneous Localization and Map** (SLAM)
using point cloud data derived from the Light Detection and Ranging (LiDAR) technology …
using point cloud data derived from the Light Detection and Ranging (LiDAR) technology …
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments
In the realm of robot action recognition, identifying distinct but spatially proximate arm
movements using vision systems in noisy environments poses a significant challenge. This …
movements using vision systems in noisy environments poses a significant challenge. This …
Implementation of extended Kalman filter-based simultaneous localization and map**: a point feature approach
MN Santhanakrishnan, JBB Rayappan, R Kannan - Sādhanā, 2017 - Springer
The implementation of extended Kalman filter-based simultaneous localization and map**
is challenging as the associated system state and covariance matrices along with the …
is challenging as the associated system state and covariance matrices along with the …
UKF-based image filtering and 3D reconstruction
A Joukhadar, D Kass Hanna, E Abo Al-Izam - Machine vision and …, 2020 - Springer
In the global world of robotics, robots have missions to achieve interactively with human
environments and online learning. Practically, for null error of a robot's achievement …
environments and online learning. Practically, for null error of a robot's achievement …
Ukf-assisted slam for 4wddmr localization and map**
Correct mobile robot localization requires precise knowledge of the robot's pose in plane, ie
the Cartesian x and y coordinates and yaw angle θ θ. Mobile robot pose information …
the Cartesian x and y coordinates and yaw angle θ θ. Mobile robot pose information …
Multi-robot charged system search-based optimal path planning in static environments
This paper proposes an optimal path planning approach based on Charged System Search
(CSS) algorithms. The approach is applied to multiple mobile robots on holonomic wheeled …
(CSS) algorithms. The approach is applied to multiple mobile robots on holonomic wheeled …