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Gang Tang, Chenyuan Wang, Zhao Zhang and Shaoyang Men
Container terminal yards are automated terminal yards. The rail-mounted gantry crane (RMGC) and rail-mounted gantry crane tracks (RMGCTs) that frequently operate in terminal yards need to be inspected regularly to ensure the safe operation of container t...
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Rihong Zhang, Zhenhao Wang, Xiaomin Li, Zipeng She and Baoe Wang
Water quality sampling and monitoring are fundamental to water environmental protection. The purpose of this study was to develop a water quality sampling and multi-parameter monitoring system mounted on a multi-rotor unmanned aerial vehicle (UAV). The s...
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Qifeng Diao, Jinfeng Zhang, Min Liu and Jiaxuan Yang
Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency. Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees...
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Yicong Guo, Xiaoxiong Liu, Xuhang Liu, Yue Yang and Weiguo Zhang
In complex environments, path planning is the key for unmanned aerial vehicles (UAVs) to perform military missions autonomously. This paper proposes a novel algorithm called flight cost-based Rapidly-exploring Random Tree star (FC-RRT*) extending the sta...
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Juan Li, Chengyue Li, Tao Chen and Yun Zhang
Due to the complexity of the marine environment, underwater target search and interception is one of the biggest problems faced by an autonomous underwater vehicle (AUV). At present, there is quite a lot of research in terms of the two-dimensional enviro...
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Shengshi Cao, Pingyi Fan, Tao Yan, Cheng Xie, Jian Deng, Feng Xu and Yaqing Shu
Ship path planning is crucial for the shipping industry, especially for the development of autonomous ships. Many algorithms have been developed over the last few decades to solve the ship path planning problem. However, it is still challenging for ship ...
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Wubin Shi, Ke Wang, Chong Zhao and Mengqi Tian
In the future of automated production processes, the manipulator must be more efficient to complete certain tasks. Compared to single-arm robots, dual-arm robots have a larger workspace and stronger load capacity. Coordinated motion planning of multi-arm...
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Qingni Yuan, Junhui Yi, Ruitong Sun and Huan Bai
To improve the path planning efficiency of a robotic arm in three-dimensional space and improve the obstacle avoidance ability, this paper proposes an improved artificial potential field and rapid expansion random tree (APF-RRT) hybrid algorithm for the ...
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Leyang Zhao, Li Yan, Xiao Hu, Jinbiao Yuan and Zhenbao Liu
The ability of an autonomous Unmanned Aerial Vehicle (UAV) in an unknown environment is a prerequisite for its execution of complex tasks and is the main research direction in related fields. The autonomous navigation of UAVs in unknown environments requ...
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Zhen Zhang, Defeng Wu, Jiadong Gu and Fusheng Li
It is well known that path planning has always been an important study area for intelligent ships, especially for unmanned surface vehicles (USVs). Therefore, it is necessary to study the path-planning algorithm for USVs. As one of the basic algorithms f...
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