The simultaneous localization and mapping (SLAM)-An overview

B Alsadik, S Karam - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Positioning is needed for many applications related to mapping and navigation, either in
civilian or military domains. The significant developments in satellite-based techniques …

Lidar-based 2D SLAM for mobile robot in an indoor environment: A review

YK Tee, YC Han - 2021 International Conference on Green …, 2021 - ieeexplore.ieee.org
This paper presents a review and comparison of the common 2D SLAM (Simultaneous
Localization and Mapping) systems in an indoor static environment, by utilizing the ROS …

Deep learning techniques for visual slam: A survey

S Mokssit, DB Licea, B Guermah, M Ghogho - IEEE Access, 2023 - ieeexplore.ieee.org
Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable
attention in recent years. This task involves using visual sensors to localize a robot while …

An autonomous navigation strategy based on improved hector slam with dynamic weighted a* algorithm

Z Yong, L Renjie, W Fenghong, Z Weiting, C Qi… - IEEE …, 2023 - ieeexplore.ieee.org
Aiming at improving the mapping accuracy and autonomous navigation efficiency of rescue
robot in unknown environment, an improved Hector SLAM based autonomous navigation …

Autonomous Navigation of Robots Based on the Improved Informed‐RRT  Algorithm and DWA

J Dai, D Li, J Zhao, Y Li - Journal of Robotics, 2022 - Wiley Online Library
An improved method is proposed in this investigation to solve the problems of poor path
quality and low navigation efficiency of the Informed‐RRT∗ algorithm in robot autonomous …

[HTML][HTML] Experimental analysis of the behavior of mirror-like objects in LiDAR-based robot navigation

D Damodaran, S Mozaffari, S Alirezaee, MJ Ahamed - Applied Sciences, 2023 - mdpi.com
Mobile robots are equipped with various sensors to perform object detection, localization,
and navigation. Among these sensors, LiDAR (light detection and ranging) is the most …

ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models

AL Karn, S Sengan, K Kotecha, IV Pustokhina… - Robotics and …, 2022 - Elsevier
Most of the world's most advanced defense technologies are robots, and the defence
industry is slowly moving toward including AI in the military robots they build. For these smart …

[HTML][HTML] Path Planning and Motion Control of Indoor Mobile Robot under Exploration-Based SLAM (e-SLAM)

R Roy, YP Tu, LJ Sheu, WH Chieng, LC Tang, H Ismail - Sensors, 2023 - mdpi.com
Indoor mobile robot (IMR) motion control for e-SLAM techniques with limited sensors, ie,
only LiDAR, is proposed in this research. The path was initially generated from simple floor …

Managing collaborative tasks within heterogeneous robotic swarms using swarm contracts

S Mallikarachchi, C Dai, O Seneviratne… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The growing number of applications in Cyber-Physical Systems (CPS) involving different
types of robots while maintaining interoperability and trust is an ongoing challenge faced by …

[HTML][HTML] Robot obstacle avoidance optimization by A* and DWA fusion algorithm

P Li, L Hao, Y Zhao, J Lu - Plos one, 2024 - journals.plos.org
The current robot path planning methods only use global or local methods, which is difficult
to meet the real-time and integrity requirements, and can not avoid dynamic obstacles …