Optimization Algorithm of Adaptive Dual-layer Search Path Planning Based on Left-hand Traffic Rules in Mines by HUANG Jiade, LIU Yong, HU Yunqing, MEI Wenqing

“…Further optimization through the gradient descent method enables the efficient generation of safe and smooth paths. Experimental results showed a 14.8% reduction in path generation time and a 0.011 m^-1 decrease in path curvature, demonstrating a significant enhancement in the navigation efficiency and safety during autonomous truck driving in mining areas.…”
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A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm. by Ganbin Xu

“…With the growing use of drones in urban monitoring and emergency search and rescue, the three-dimensional environments they navigate are becoming more complex, including high-rise buildings, underground pipelines, and dynamic obstacles. Efficient path planning is crucial for drones to respond quickly, infiltrate covertly, and ensure mission success. …”
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Scale-free fault-tolerant topology control algorithm in wireless sensor network with optimization of path energy consumption by Hao-ran LIU, Tao HAN, Ya-qian LI, Rong-rong YIN

“…The simulation results show that the algorithm also reduces the path energy consumption in the network and then make the network energy-efficient.…”
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Control strategies for autonomous vehicle path tracking: A comparative study of PID, Pure-Pursuit, and Stanley methods by Bousskoul Aala Eddine, Ouachtouk Ilias, Ait Elmahjoub Abdelhafid

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Controls on the T Phase Energy Fluxes Recorded on Juan Fernandez Island by Continental Seismic Wave Paths and Nazca Bathymetry by Miguel Sáez, Sergio Ruiz

“…Additionally, we observed differences in the TPEFs from both earthquake sequences that were controlled by seamounts atop the Nazca plate along the T phase paths.…”
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Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework by Zhen Han, Weian Guo

“…Unmanned aerial vehicles (UAVs) are increasingly deployed in dynamic environments for applications such as surveillance, delivery, and data collection, where efficient task allocation and path planning are critical to minimizing mission completion time while managing limited energy resources. …”
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Accurate and Effective Data Collection with Minimum Energy Path Selection in Wireless Sensor Networks using Mobile Sinks by Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf

“…In such methods, data collection is effective and efficient in data transfer for an extended WSN lifetime. …”
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Digital Twin Driven Four-Dimensional Path Planning of Collaborative Robots for Assembly Tasks in Industry 5.0 by Ilias Chouridis, Gabriel Mansour, Asterios Chouridis, Vasileios Papageorgiou, Michel Theodor Mansour, Apostolos Tsagaris

“…The physical information about the industrial environment is replicated within the DT in a computationally efficient way that aligns with the requirements of the path planning algorithm and the DT’s objectives. …”
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Model-Based Offline Reinforcement Learning for AUV Path-Following Under Unknown Ocean Currents with Limited Data by Xinmao Li, Lingbo Geng, Kaizhou Liu, Yifeng Zhao

“…Minimizing experimental data while maintaining good AUV path-following performance is essential to reduce controller design costs and ensure AUV safety, particularly in complex and dynamic underwater environments with unknown ocean currents. …”
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Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance by Naimul Hasan, Huma Khan, Shahida Khatoon, Mohammad Sajid

“…This research paper proposes a hybrid fuzzy logic controller for achieving autonomous path navigation and obstacle avoidance through the use of the Social Spider Optimizer algorithm. …”
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Microstructures evolution and enhanced performance of ZK60 magnesium alloys manufactured by multi-path asynchronous warm rolling by Haixin Zou, Wangxing Zhou, Dawen Liu, Peng Jiang

“…The new technology of Multi-Path Asynchronous Warm Rolling (MPAWR) is used in the manufacture of ZK60 Mg alloy sheets in order to solve these problems. …”
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A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…The simulation results verify the advantages of this method, achieving significantly shorter path lengths, higher computational efficiency, and stronger stability compared to the traditional solutions, thereby improving the efficiency of rural PV inspection. …”
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Building OptiPath: A Cloud-Based system for Optimal Route Calculation using ArcGIS Enterprise by H. Wang, H. Wang, D. Jain, J. Greenspon, J. Greenspon, J. Blossom

“…Beyond offering an effective, efficient routing solution, OptiPath underscores the immense potential of integrating cloud computing and ESRI’s big data tools for GIS applications.…”
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Electric vehicles charging station allocation based on load profile forecasting and Dijkstra’s algorithm for optimal path planning by Sahbi Boubaker, Sameer Al-Dahidi, Souad Kamel, Nejib Ghazouani, Habib Kraiem, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Mohamed Benghanem, Adel Mellit

“…Dijkstra’s algorithm was employed to effectively optimize the routing of EVs to their nearest charging stations by determining optimal shortest paths. The simulation results demonstrate that the proposed approach significantly enhances EV allocation efficiency while reducing both waiting times and travel distances. …”
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Hardware-Software Stitching Algorithm in Lightweight Q-Learning System on Chip (SoC) for Shortest Path Optimization by Yahwista Salomo, Infall Syafalni, Nana Sutisna, Trio Adiono

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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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Enhancing Unmanned Aerial Vehicle Path Planning in Multi-Agent Reinforcement Learning through Adaptive Dimensionality Reduction by Haotian Shi, Zilin Zhao, Jiale Chen, Mengjie Zhou, Yang Liu

“…Effective path planning for multiple UAVs exploring a target area is crucial for maximizing coverage and operational efficiency. …”
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An optimized potential formula of the $ m \times n $ apple surface network and its application of potential in path planning by Yangming Xu, Yanpeng Zheng, Xiaoyu Jiang, Zhaolin Jiang, Zhibin Liu

“…These findings provided new perspectives and tools for the computation of resistor networks and the design of path planning algorithms. Experiments were conducted to analyze the efficiency and availability of various techniques for computing potential.…”
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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

“…This modification improves the efficiency of path search while maintaining a low cumulative dose for staff. …”
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GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control by Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin

“…Research on UAV (unmanned aerial vehicle) path planning and obstacle avoidance control based on DRL (deep reinforcement learning) still faces limitations, as previous studies primarily utilized current perceptual inputs while neglecting the continuity of flight processes, resulting in low early-stage learning efficiency. …”
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