|
|
|
|
|
Wojciech Rymarkiewicz, Pawel Cybulski and Tymoteusz Horbinski
This study investigated the impact of smartphone usage frequency on the effectiveness and accuracy of symbol location in a variety of spatial contexts on mobile maps using eye-tracking technology while utilizing the example of Mapy.cz. The scanning speed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengke Zhang, Xiaoguang Li, Ling Wang, Liujian Jin and Shubo Wang
The application of intelligent mobile robots in agriculture has emerged as a new research frontier, with the integration of autonomous navigation technology and intelligent agricultural robots being the key to the widespread adoption of smart agricultura...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donggyun Kim, Byungjin Lee and Sangkyung Sung
This paper explores the research topic of enhancing the reliability of unmanned mobile exploration using LiDAR SLAM. Specifically, it proposes a technique to analyze waypoints where 3D LiDAR SLAM can be smoothly performed in potential exploration areas a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Binbin Yue, Zhigang Zhang, Wenyu Zhang, Xiwen Luo, Guocheng Zhang, Haixiang Huang, Xinluo Wu, Kaiyuan Bao and Mingda Peng
In order to enhance the efficiency of agricultural machinery in orchard rows and minimize harm to personnel caused by pesticide spraying, this study developed a GNSS-based (Global Navigation Satellite System) automatic navigation driving system for track...
ver más
|
|
|
|
|
|
|
|
|
|
|
Antonio Angrisano, Giovanni Cappello, Salvatore Gaglione and Ciro Gioia
Velocity estimation has a key role in several applications; for instance, velocity estimation in navigation or in mobile mapping systems and GNSSs is currently a common way to achieve reliable and accurate velocity. Two approaches are mainly used to obta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Reinis Cimurs, Vilnis Turkovs, Martins Banis and Aleksandrs Korsunovs
For mobile cleaning robot navigation, it is crucial to not only base the motion decisions on the ego agent?s capabilities but also to take into account other agents in the shared environment. Therefore, in this paper, we propose a deep reinforcement lear...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liyana Wijayathunga, Alexander Rassau and Douglas Chai
The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lesia Mochurad, Yaroslav Hladun and Roman Tkachenko
Obstacle detection is crucial for the navigation of autonomous mobile robots: it is necessary to ensure their presence as accurately as possible and find their position relative to the robot. Autonomous mobile robots for indoor navigation purposes use se...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wentao Shi, Yongqi Tang, Mingqi Jin and Lianyou Jing
The Underwater Internet of Things (IoUT) shows significant future potential in enabling a smart ocean. Underwater sensor network (UWSN) is a major form of IoUT, but it faces the problem of reliable data collection. To address these issues, this paper con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
ver más
|
|
|
|
|
|