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Ying-Ying Weng, Rong-Yu Wu and Yu-Jun Zheng
In the traditional express delivery sector, trucks are the most available and efficient transportation mode in urban areas. However, due to the pressures of traffic congestion and air pollution problems, many cities have implemented strict measures to re...
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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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Shuling Zhao and Sishuo Zhao
Due to the intensification of economic globalization and the impact of global warming, the development of methods to reduce shipping costs and reduce carbon emissions has become crucial. In this study, a multi-objective optimization algorithm was designe...
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Xinyang Xu, Haiyan Wang and Pengzhu Deng
Along with the rapid development of the economy and the increasing demand for transport quality, renewed attention to multimodal transportation has emerged. However, due to the unpredictable transport environment in the process of multimodal transportati...
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Petr Kadlec
This paper aims to solve the space robot pathfinding problem, formulated as a multi-objective (MO) optimization problem with a variable number of dimensions (VND). This formulation enables the search and comparison of potential solutions with different m...
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Lihong Xu, Jiawei You and Hongliang Yuan
In order to meet the obstacle avoidance requirements of unmanned agricultural machinery in operation, it is necessary to plan a path to avoid obstacles in real time after obstacles are detected. However, the traditional path planning algorithm does not c...
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Yuan Luo, Jiakai Lu, Qiong Qin and Yanyu Liu
The Jump Point Search (JPS) algorithm ignores the possibility of any-angle walking, so the paths found by the JPS algorithm under the discrete grid map still have a gap with the real paths. To address the above problems, this paper improves the path opti...
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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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Shaolong Yang, Jin Huang, Weichao Li and Xianbo Xiang
A growing number of researchers are interested in deploying unmanned surface vehicles (USVs) in support of ocean environmental monitoring. To accomplish these missions efficiently, multiple-waypoint path planning strategies for survey USVs are still a ke...
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Qunhong Tian, Tao Wang, Yunxia Wang, Changjiang Li and Bing Liu
The bionic robotic fish is one of the special autonomous underwater vehicles (AUV), whose path planning is crucial for many applications including underwater environment detection, archaeology, pipeline leak detection, and so on. However, the uncertain o...
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Shenghua Xu, Yang Gu, Xiaoyan Li, Cai Chen, Yingyi Hu, Yu Sang and Wenxing Jiang
The internal structure of buildings is becoming increasingly complex. Providing a scientific and reasonable evacuation route for trapped persons in a complex indoor environment is important for reducing casualties and property losses. In emergency and di...
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Yuan Luo, Jiakai Lu, Yi Zhang, Qiong Qin and Yanyu Liu
This research can be applied to path planning and automatic obstacle avoidance of drone in low altitude complex environments.
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Mostafa Mo. Massoud, A. Abdellatif and Mostafa R. A. Atia
Omni-wheeled mobile robots (Omni WMRs) are commonly used in indoor navigation applications like surveillance, search and rescue, and autonomous transportation. They are always characterized by their versatility, mobility and high payload. This paper pres...
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Jinbiao Yuan, Zhenbao Liu, Yeda Lian, Lulu Chen, Qiang An, Lina Wang and Bodi Ma
When performing area coverage tasks in some special scenarios, fixed-wing aircraft conventionally adopt the scan-type of path planning, where the distance between two adjacent tracks is usually less than the minimum turning radius of the aircraft. This r...
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Abdul Quadir Md, Divyank Agrawal, Monark Mehta, Arun Kumar Sivaraman and Kong Fah Tee
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are still not ready...
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John P. Jasa, Benjamin J. Brelje, Justin S. Gray, Charles A. Mader and Joaquim R. R. A. Martins
Aircraft are multidisciplinary systems that are challenging to design due to interactions between the subsystems. The relevant disciplines, such as aerodynamic, thermal, and propulsion systems, must be considered simultaneously using a path-dependent for...
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Alejandro Murrieta-Mendoza, Charles Romain and Ruxandra Mihaela Botez
Aircrafts require a large amount of fuel in order to generate enough power to perform a flight. That consumption causes the emission of polluting particles such as carbon dioxide, which is implicated in global warming. This paper proposes an algorithm wh...
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Kwangwon Seo, Jinhyun Ahn and Dong-Hyuk Im
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Mateus Mendes, Jorge Almeida, Hajji Mohamed and Rudi Giot
Augmented Reality is increasingly used for enhancing user experiences in different tasks. The present paper describes a model combining augmented reality and artificial intelligence algorithms in a 3D model of an area of the city of Coimbra, based on inf...
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