A UAV path planning algorithm for bridge construction safety inspection in complex terrain by Wenyuan Xu, Chuang Cui, Yongcheng Ji, Xiang Li, Shuai Li

“…Abstract In response to the challenge of rapid unmanned aerial vehicles (UAV) path planning for bridge construction in complex terrain, this paper presents an enhanced snake optimization (CSGLSO) UAV three-dimensional path planning algorithm. …”
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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…This paper proposes an Adaptive Bi-directional Rapidly-exploring Random Tree (ABi-RRT) algorithm with the objective of addressing challenges in three-dimensional path planning of unmanned aerial vehicle (UAV) operating in complex environments. …”
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MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats by Zhengsheng Zhan, Dangyue Lai, Canjian Huang, Zhixiang Zhang, Yongle Deng, Jian Yang

“…We successfully apply these modifications to UAV path planning scenarios in complex environments. …”
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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

“…Uncrewed aerial vehicle (UAV) path planning in complex environments requires more waypoints to generate high-quality flight paths. …”
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FRRT*-Connect: A Bidirectional Sampling-Based Path Planner with Potential Field Guidance for Complex Obstacle Environments by Wenshan Yan, Xiangrong Xu, Aleksandar Rodić, Petar B. Petrovich

“…This paper addresses the path planning problem in high-dimensional complex environments and proposes an improved FRRT*-Connect algorithm to enhance the efficiency, precision, and robustness of path generation. …”
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Path Planning of Surface vessel based on improved IRRT* algorithm by Hao Yu, Xin Wang, Hao Peng

“…This study addresses the limitations of traditional path planning algorithms, such as lengthy path planning, prolonged planning time, and non-compliance with the kinematic laws of surface vessels, an improved IRRT* algorithm suitable for Surface vessel path planning in complex water environment is proposed to make it conform to the kinematic characteristics of Surface vessels. …”
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Voxel-Based Path Planning for Autonomous Vehicles in Parking Lots by Zhaoyu Lin, Zhiyong Wang, Tailin Gong, Yingying Ma, Weidong Xie

“…With the development of autonomous driving technology, the application scenarios for mobile robots and unmanned vehicles are gradually expanding from simple structured environments to complex unstructured scenes. In unstructured three-dimensional spaces such as urban environments, traditional two-dimensional map construction and path planning techniques struggle to effectively plan accurate paths. …”
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Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

“…The coverage tasks of mobile robots are evolving towards large-scale and intelligent directions, demanding urgent requirements for the coverage efficiency and environmental adaptability of coverage path planning. To address the inadequate adaptability of the traditional boustrophedon cellular decomposition in complex maps and to improve coverage efficiency, a complete coverage path planning method is proposed. …”
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…Practical applications in engineering design optimization and UAV path planning further validate ACIVY’s robust performance, consistently delivering optimal solutions across diverse real-world scenarios. …”
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DPF-Bi-RRT^*: An Improved Path Planning Algorithm for Complex 3D Environments With Adaptive Sampling and Dual Potential Field Strategy by Lin Ge, Swee King Phang, Nohaidda Sariff

“…This research work, we introduce a path planning algorithm called DPF-Bi-RRT* which integrates a Dual Potential Field mechanism with a Targeted Sampling Strategy to address path planning issues in complex 3D spaces. …”
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Improved A* Algorithm Based on Artificial Potential Field Method for Global Path Planning of Unmanned Surface Vessels in Complex Environments by Shuxuan Liu, Zhijia Qian, Sunwei Jiang, Quanming Miao

“…Aiming at the problems of long path planning time, excessive ineffective expansion nodes, and easy collision with obstacles that may occur when using traditional A* algorithm for unmanned surface vessels in complex environments, an improved A* algorithm combined with artificial potential field thinking is proposed for global path planning of unmanned surface vessels. …”
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Smooth Optimised A*-Guided DWA for Mobile Robot Path Planning by Liling Cao, Lei Tang, Shouqi Cao, Qing Sun, Guofeng Zhou

“…Compared to the existing fusion algorithm, the SOA-DWA algorithm reduces the path length by an average of 10.1%, improves planning efficiency by an average of 42%, and effectively enhances obstacle avoidance efficiency. …”
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AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…ObjectiveTo address the challenges of complex underwater environments, particularly the uncertainties in ocean currents, this study proposes an improved sparrow search algorithm (ISSA) for autonomous underwater vehicles (AUVs) path planning. …”
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Path Planning of Library Management Robot Based on PDO-ACO Algorithm by Na Lin

“…A path planning method based on Particle Differential Optimization-Ant Colony Optimization (PDO-ACO) algorithm for library management robots is proposed in the study, aiming to solve the problem of low efficiency of current path planning methods in complex environments. …”
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Global and local path planning of robots combining ACO and dynamic window algorithm by Yaping Lu, Chen Da

“…However, faced with the challenges of static and dynamic obstacles in complex environments, traditional path planning methods have limitations in terms of efficiency and adaptability. …”
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Enhanced Ant Colony Algorithm Based on Islands for Mobile Robot Path Planning by Qian Li, Qipeng Li, Baoling Cui

“…Path planning in complex environments presents a substantial research challenge for mobile robots. …”
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Research on improved RRT path planning algorithm based on multi-strategy fusion by Shangjing Lei, Tengyan Li, Xiaochan Gao, Pengjun Xue, Guozhu Song

“…The simulation results show that in path planning with different map complexity, the simulation results show that the MSF-RRT algorithm reduces the search time, path length, and number of nodes by an average of 90.53%, 16.84%, and 88.43%, respectively, compared to the traditional RRT algorithm; by an average of 79.33%, 14.58%, and 77.71%, respectively, compared to the RRT-Star algorithm; and by an average of 49.74%, 14.89%, and 68.74%, respectively, compared to the RRT- Connect algorithm. …”
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Research on 3D Obstacle Avoidance Path Planning for Apple Picking Robotic Arm by Xinyan Chen, Chun Lu, Ziliang Guo, Chengkai Yin, Xuanbo Wu, Xiaolan Lv, Qing Chen

“…In the complex two-dimensional simulation experiment, compared to RRT* and IRRT*, the average path cost of the optimization algorithm is reduced by 362.4 mm and 343.5 mm and the average search time is reduced by 5.49 s and 1.54 s. …”
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The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach by Xiaoqiang Dai, Chengye Liu, Qiang Lai, Xin Huang, Qingjun Zeng, Ming Liu

“…The experimental results validate that the proposed approach can effectively plan safe and smooth paths in complex water–land environments with multiple moving obstacles.…”
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