Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

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GOHBA: Improved Honey Badger Algorithm for Global Optimization by Yourui Huang, Sen Lu, Quanzeng Liu, Tao Han, Tingting Li

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Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…Optimal path planning algorithms offer substantial benefits in high-density storage (HDS) systems in modern smart manufacturing. …”
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Efficient Energy Flight Path Planning Algorithm Using 3-D Visibility Roadmap for Small Unmanned Aerial Vehicle by Zahoor Ahmad, Farman Ullah, Cong Tran, Sungchang Lee

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Public security patrol path planning recommendation method based on wolf-pack optimization algorithm using DAF and BRS by Dongxing Wang, Gaomin Zhang, Fangbo Wu, Zhiyang Huang, Yiping Chen

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Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion by Longyan Xu, Mao Xi, Ren Gao, Ziheng Ye, Zaihan He

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Quad Rapidly-Exploring Random Tree Star Algorithm With Improved Potential Force for Unmanned Aerial Vehicle Path Planning by Peng Bian, Jiaming Fan, Yang Liu, Xia Chen, Yu Wang

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An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration by Junwei Zhang, Liangqing Lyu

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Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm by Xin Li, Jingwen Yang, Xin Wang, Leiyang Fu, Shaowen Li

“…The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. …”
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Bio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments by Shiwei Lin, Jianguo Wang, Bomin Huang, Xiaoying Kong, Hongwu Yang

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A Hybrid-A* Path Planning Method Based on Equal Step Hierarchical Expansion by CHEN Xinpeng, XU Biao, HU Manjiang, QIN Zhaobo, BIAN Yougang

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APPLICATION OF MODELS OF INFORMATION AND ANALYTICAL SUPPORT SYSTEMS FIRE FIGHTING RESCUE UNITS by O. I. Stepanov, S. A. Khudyakova

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Energy-Optimized Path Planning and Tracking Control Method for AUV Based on SOC State Estimation by Guangyi Yang, Zhenning Xu, Feng Wang, Xiaoyu Zhang

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A Study on the Vehicle Routing Planning Method for Fresh Food Distribution by Yuxuan Wang, Yajun Wang, Junyu Leng

“…An adaptive hybrid algorithm combining the particle swarm optimization algorithm and the genetic algorithm (APSOGA) is used to reallocate the location information on backup points for the front-end warehouse, ultimately determining the facility location of the front-end warehouse and planning the end path from the front-end warehouse to the customer point, achieving joint optimization of the front-end warehouse’s location and path. …”
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Synthesis and Testing of an Algorithm for Autonomous Landing of a UAV under Turbulence, Wind Disturbance and Sensor Noise by Stefan Biliderov, Krasimir Kamenov, Radostina Calovska, Georgi Georgiev

“…The obtained results were transferred to MATLAB-Simulink, where the flight control algorithm was synthesized, the landing mode was set using an engineering flight plan, and an autonomous landing was simulated in the presence of wind disturbances with turbulence and noisy operation of the information measurement complex of the UAV. …”
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Optimal Strategy of Unreliable Flexible Production System Using Information System by Sadok Rezig, Sadok Turki, Ayoub Chakroun, Nidhal Rezg

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Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

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Research on Continuous Obstacle Avoidance Picking Planning Based on Multi-Objective Clustered Crabapples by Liguo Wu, Longqiang Yuan, Xiangquan Meng, Sanping Li, Qiyu Wang, Xingyu Chen

“…The multi-objective picking sequence of crabapples was planned, and the adaptive pheromone factor, heuristic function, and volatile factor were used to improve the ant colony (ACO) algorithm, so as to improve the convergence speed, adaptability, and global search ability of the algorithm. …”
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Energy-Efficient Route and Velocity Planning for Electric Vehicles: A Hierarchical Eco-Driving Framework Integrating Traffic and Road Information by Dong Xie, Jianhua Guo, Yu Jiang, Zhuoran Hou, Jintao Deng

“…Finally, based on the route information from the upper level, along with traffic, kinematic, and road information, a convex optimization algorithm is employed to achieve accurate and efficient velocity planning. …”
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Path Planning of Underground Robots via Improved A* and Dynamic Window Approach by Jianlong Dai, Yinghao Chai, Peiyin Xiong

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