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 …
Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while …
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 …
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 …
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 …
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 …
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 …
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 …
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 …