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Jonghoek Kim
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions. In this paper, we develop a novel 3D path planner, which i...
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Bangshun Zhan, Shun An, Yan He and Longjin Wang
This paper proposes an improved standard particle swarm optimization 2011 for autonomous underwater vehicles (AUVs). A mutation operator with a threshold is introduced to solve the problem of particles falling into the local extreme, and a nonlinear adap...
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Yi-Ju Tsai, Chia-Sung Lee, Chun-Liang Lin and Ching-Huei Huang
This study addresses the flight-path planning problem for multirotor aerial vehicles (AVs). We consider the specific features and requirements of real-time flight-path planning and develop a rapidly-exploring random tree (RRT) algorithm to determine a pr...
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Donggyun Kim, Byungjin Lee and Sangkyung Sung
This paper presents an efficient method for securing navigation performance by suppressing divergence risk of LiDAR SLAM through a newly proposed geometric observability analysis in a three-dimensional point cloud map. For this, observability characteris...
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Changyu Lu, Jianmin Yang, Bernt Johan Leira, Qihang Chen and Shulin Wang
Three-dimensional path planning is instrumental in path decision making and obstacle avoidance for deep-sea mining vehicles (DSMV). However, conventional particle swarm algorithms have been prone to trapping in local optima and have slow convergence rate...
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Jiangyi Yao, Xiongwei Li, Yang Zhang, Jingyu Ji, Yanchao Wang, Danyang Zhang and Yicen Liu
Unmanned helicopter (UH) is often utilized for raid missions because it can evade radar detection by flying at ultra-low altitudes. Path planning is the key technology to realizing the autonomous action of UH. On the one hand, the dynamically changing ra...
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Okan Minnetoglu and Erdinc Sahin Conkur
An effective path-planning algorithm in three-dimensional (3D) environments based on a geometric approach for redundant/hyper-redundant manipulators are presented in this paper. The method works within confined spaces cluttered with obstacles in real-tim...
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Zeyang Wang, Jun Huang and Mingxu Yi
Unmanned aerial helicopters (UAHs) have been widely used recently for reconnaissance operations and other risky missions. Meanwhile, the threats to UAHs have been becoming more and more serious, mainly from radar and flights. It is essential for a UAH to...
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Guoyi Sun, Qian Xu, Guangyuan Zhang, Tengteng Qu, Chengqi Cheng and Haojiang Deng
With the rapid development of the big data era, Unmanned Aerial Vehicles (UAVs) are being increasingly adopted for various complex environments. This has imposed new requirements for UAV path planning. How to efficiently organize, manage, and express all...
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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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Jian Li, Weijian Zhang, Yating Hu, Shengliang Fu, Changyi Liao and Weilin Yu
To improve the obstacle avoidance ability of agricultural unmanned aerial vehicles (UAV) in farmland settings, a three-dimensional space path planning model based on the R5DOS model is proposed in this paper. The direction layer of the R5DOS intersection...
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Jingjing Zhang, Yanlong Liu and Weidong Zhou
Adaptive sampling of the marine environment may improve the accuracy of marine numerical prediction models. This study considered adaptive sampling path optimization for a three-dimensional (3D) marine observation platform, leading to a path-planning str...
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Xiangbin Meng, Hai Sun and Jichuan Kang
There are many factors involved in the layout optimization of cabin equipment, and human factors should be considered in the early stage of layout design. Human reliability is an effective index to evaluate the probability of success of the human complet...
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Abdul Majeed and Sungchang Lee
This paper presents a new coverage flight path planning algorithm that finds collision-free, minimum length and flyable paths for unmanned aerial vehicle (UAV) navigation in three-dimensional (3D) urban environments with fixed obstacles for coverage miss...
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Haifei Zhu, Shichao Gu, Li He, Yisheng Guan and Hong Zhang
Biped climbing robots are considered good assistants and (or) substitutes for human workers carrying out high-rise truss-associated routine tasks. Flexible locomotion on three-dimensional complex trusses is a fundamental skill for these robots. In partic...
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Jieun Baek and Yosoon Choi
The design of a haul road for an open-pit mine can significantly affect the cost associated with hauling ore and waste to the surface. This study proposes a new method for haul road design in open-pit mines to support efficient truck haulage operations. ...
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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Alastair Poole, Mark Sutcliffe, Gareth Pierce and Anthony Gachagan
Robotised Non Destructive Testing (NDT) presents multifaceted advantages, saving time and reducing repetitive manual workloads for highly skilled Ultrasonic Testing (UT) operators. Due to the requisite accuracy and reliability of the field, robotic NDT h...
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Huangchuang Zhang and Ge Li
With the improvement of urban infrastructure and the increase in the coverage of high-rise buildings, the demand for location information services inside buildings is becoming more and more urgent. Moreover, indoor path planning, as a prerequisite and ba...
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Guocheng Zhang, Jixiao Liu, Yushan Sun, Xiangrui Ran and Puxin Chai
This paper aims to focus on the path planning problem of AUV in the marine environment. As well as considering the path length and safe obstacle avoidance, ocean currents should not be ignored as the main factor affecting the navigation energy consumptio...
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