Path planning for autonomous mobile robots: A review

JR Sanchez-Ibanez, CJ Pérez-del-Pulgar… - Sensors, 2021 - mdpi.com
Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Stance-phase detection for ZUPT-aided foot-mounted pedestrian navigation system

Z Wang, H Zhao, S Qiu, Q Gao - IEEE/ASME Transactions On …, 2015 - ieeexplore.ieee.org
Zero velocity updates (ZUPT) is an effective way for the foot-mounted inertial pedestrian
navigation systems. For the ZUPT technique to work properly, it is necessary to correctly …

A survey of energy-efficient motion planning for wheeled mobile robots

H Zhang, Y Zhang, T Yang - Industrial Robot: the international journal …, 2020 - emerald.com
Purpose As wheeled mobile robots find increasing use in outdoor applications, it becomes
more important to reduce energy consumption to perform more missions efficiently with limit …

CL-MAPF: Multi-agent path finding for car-like robots with kinematic and spatiotemporal constraints

L Wen, Y Liu, H Li - Robotics and Autonomous Systems, 2022 - Elsevier
Abstract Multi-Agent Path Finding has been widely studied in the past few years due to its
broad application in the field of robotics and AI. However, previous solvers rely on several …

2d slam algorithms characterization, calibration, and comparison considering pose error, map accuracy as well as cpu and memory usage

K Trejos, L Rincón, M Bolaños, J Fallas, L Marín - Sensors, 2022 - mdpi.com
The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM
algorithm, providing strong statistical evidence, based on descriptive and inferential statistics …

Lane-level localization using an AVM camera for an automated driving vehicle in urban environments

D Kim, B Kim, T Chung, K Yi - IEEE/ASME Transactions on …, 2016 - ieeexplore.ieee.org
This paper describes a lane-level localization algorithm based on a map-matching method
for application to automated driving in urban environments. The lane-level localization …

A robust and precise LiDAR-inertial-GPS odometry and mapping method for large-scale environment

Y Wu, J Zhao - IEEE/ASME Transactions on Mechatronics, 2022 - ieeexplore.ieee.org
In this article, we propose a system that can fuse inertial measurement unit (IMU), light
detection and ranging (LiDAR), and intermittent global positioning system (GPS) …

Decentralized event-triggered cooperative localization in multirobot systems under random delays: With/without timestamps mechanism

TK Tasooji, HJ Marquez - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
This article addresses the problem of the decentralized event-triggered cooperative
localization (DECL) for a group of mobile robots in the presence of time delays. First, we …

Trajectory planning and the target search by the mobile robot in an environment using a behavior-based neural network approach

KK Pandey, DR Parhi - Robotica, 2020 - cambridge.org
Navigation and path analysis in a cluttered environment is a challenging task over the last
few decades. In this paper, a behavior-based neural network (BNN) and reactive control …

Parameter self‐learning feedforward compensation‐based active disturbance rejection for path‐following control of self‐driving forklift trucks

H Xie, L Li, X Song, W Xue, K Song - Asian Journal of Control, 2023 - Wiley Online Library
In this paper, for self‐driving forklift, a path‐following framework based on composite
disturbance rejection that combines a cascaded active disturbance rejection controller and …