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Bowen Xing, Xiao Wang and Zhenchong Liu
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the...
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Mostafa El Debeiki, Saba Al-Rubaye, Adolfo Perrusquía, Christopher Conrad and Juan Alejandro Flores-Campos
The use of unmanned aerial vehicles (UAVs) is increasing in transportation applications due to their high versatility and maneuverability in complex environments. Search and rescue is one of the most challenging applications of UAVs due to the non-homoge...
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Saurabh Chatterjee and Kaadaapuram Kurien Issac
The specific application of this work is in the robotic path planning of camera-based non-destructive testing systems such as active thermography.
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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...
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Liang Zhao and Yong Bai
Seamless integration of both terrestrial and non-terrestrial networks is crucial to providing full-dimensional wireless and ubiquitous coverage, particularly catering to those engaged in marine activities. Compared to terrestrial networks, wireless commu...
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Maria Höffmann, Shruti Patel and Christof Büskens
Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields. This work offers ...
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Haoling Ren, Jiangdong Wu, Tianliang Lin, Yu Yao and Chang Liu
Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization. However, most of the existing research on intelligent agricultur...
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Andrius Kri?ciunas, Dalia Calneryte, Tautvydas Fyleris, Tadas Jurgutis, Dalius Makackas and Rimantas Barauskas
Parking lots have wide variety of shapes because of surrounding environment and the objects inside the parking lot, such as trees, manholes, etc. In the case of paving the parking lot, as much area as possible should be covered by the construction vehicl...
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Bowen Xing, Xiao Wang, Liu Yang, Zhenchong Liu and Qingyun Wu
A deep reinforcement learning method to achieve complete coverage path planning for an unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the workspace required for complete coverage. Then, for the full-coverage path planni...
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Zhiyao Zhao, Bin Zhu, Yan Zhou, Peng Yao and Jiabin Yu
This paper solves the problem of cooperative path planning of multiple unmanned surface vehicles (USVs) for search and coverage tasks in water environments. Firstly, taking the search coverage problem of water surface pollutants as an example, the inform...
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