Adaptive Spanning Tree-Based Coverage Path Planning for Autonomous Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish, K. R. Guruprasad

“…In this study, a unique approach is presented to improve autonomous robots’ path planning abilities, especially in dynamic environments. …”
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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward by Michel Baldin, Jeffrey M. Bewley, Victor E. Cabrera, Kevin Jones, Connie Loehr, Gustavo Mazon, Juan D. Perez, Matthew Utt, Jeff Weyers

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Assessing municipal solid waste in Indian smart cities: A path towards Waste-to-Energy by Ateeb Hamdan, Sugato Panda, Mayur Shirish Jain, Veena Raj, Sathyajith Mathew

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The example of BTJE flow path contamination assessment with anti-icing fluid using statistical models by S. V. Nekrasov, B. A. Chichkov

“…Contamination of the compressor flow path is one of the most prevalent issues encountered during the operation of aircraft gas turbine engines (GTEs). …”
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Blocked algorithm of finding all-pairs shortest paths in graphs divided into weakly connected clusters by O. N. Karasik, A. A. Prihozhy

“…We performed a set of comparing experiments for BSPCG and standard Blocked All-Pairs Shortest Path (BFW) algorithm on four randomly generated graphs of 4800 and 9600 vertices with different cluster configurations to determine the efficiency of calculation of paths passing through bridge vertices. …”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…This paper proposes a nonlinear path optimization algorithm for mining trucks based on double-layer trust region strategy, aiming at addressing path planning in the complex environment of mining areas. …”
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Time-optimal path parameterization planning for automatic fiber placement based on reachability quadratic analysis by Guangyu Dong, Wenpeng Li, Yuhong Du, Leicheng Yang

“…However, because multiple layers of fibers need to be continuously placed to meet usage requirements, the production efficiency of fiber placement is low. To achieve time-optimal path parameterization (TOPP), this study optimizes the path discrete point quantity and time parameters of TOPP in order to maximize time optimization. …”
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GVDF-RRT*: An Improved F-RRT* Path Planning Algorithm Based on Generalized Voronoi Diagram by Yitao Zhong, Xiaojing Zhu, Jianfang Huang, Yaokun Ye, Zhaoming Wang, Yuhuai Wang

“…Secondly, a node direct connection mechanism is established, which reduces the redundant computation and further reduces the initial time by hierarchical processing of creation nodes, while combined with the forward optimization mechanism to optimize the paths in iteration, effectively reducing the path cost. …”
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A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle by Jianhui Mou, Bo Shi, Bo Wang, Chengcheng Yu, Yangwei Wang, Fusheng Zhong, Li Zheng, Jian Wang, Junjie Li

“…Simulation results demonstrate that the APF-RADQN improves the interface ability and path quality, significantly enhancing the USV navigation safety and ocean observation mission operation efficiency.…”
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A Multi-Objective Black-Winged Kite Algorithm for Multi-UAV Cooperative Path Planning by Xiukang Liu, Fufu Wang, Yu Liu, Long Li

“…Simulation experiments for three UAVs and five UAVs show that the proposed algorithm can obtain a more reasonable collaborative path solution set for UAVs. Moreover, path planning based on NSBKA is generally superior to other algorithms in terms of energy saving, safety, and computing efficiency during planning. …”
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Path Planning of Mobile Robot in Dynamic Obstacle Avoidance Environment Based on Deep Reinforcement Learning by Qingfeng Zhang, Wenpeng Ma, Qingchun Zheng, Xiaofan Zhai, Wenqian Zhang, Tianchang Zhang, Shuo Wang

“…In this study, to address the issues faced by mobile robots in complex environments, such as sparse rewards caused by limited effective experience, slow learning efficiency in the early stages of training, as well as poor obstacle avoidance performance in environments with dynamic obstacles, the authors proposed a new path planning algorithm for mobile robots by introducing Intrinsic Curiosity Module (ICM) and Long Short-Term Memory (LSTM) into the Proximal Policy Optimization (PPO) algorithm. …”
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APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…However, complex and dynamic environments present stringent requirements for the real-time performance, stability, and coordination capabilities of path planning algorithms. To address these challenges, this paper introduces an Adaptive Path Planning Algorithm (APPA) that enables exploration-based real-time obstacle avoidance in multi-robot systems. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…Moreover, clinical assessment by a thoracic surgeon found that 78% of the recommended paths met clinical standards, with 0% deemed unsatisfactory. …”
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An Adaptive Path Tracking Controller with Dynamic Look-Ahead Distance Optimization for Crawler Orchard Sprayers by Xu Wang, Bo Zhang, Xintong Du, Xinkang Hu, Chundu Wu, Jianrong Cai

“…Based on the characteristics of small agricultural machinery in terms of flexibility and high efficiency when operating in small plots of hilly and mountainous areas, as well as the demand for improving the automation and intelligence levels of agricultural machinery, this paper conducted research on the path tracking control of the automatic navigation operation of a crawler sprayer. …”
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Mobile Robot Path Planning Based on Fused Multi-Strategy White Shark Optimisation Algorithm by Dazhang You, Junjie Yu, Zhiyuan Jia, Yepeng Zhang, Zhiyuan Yang

“…Addressing the limitations of existing path planning algorithms for mobile robots in complex environments, such as poor adaptability, low convergence efficiency, and poor path quality, this study establishes a clear connection between mobile robots and real-world challenges such as unknown environments, dynamic obstacle avoidance, and smooth motion through innovative strategies. …”
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Charting the path to the implementation of universal health coverage policy in Nigeria through the lens of Delphi methodology by Jibril M. Bashar, Sulaiman Hadiza, Ozoilo J. Ugochi, Lawal S. Muhammad, Adeoye Olufemi, Ukoh Eberechi, Yakubu Agada-Amade, Alhassan Yusuf, Abdulhamid H. Abdullahi, Hassan S. Musa, Ahmad A. Ibrahim, Kalu-Umeh Nnennaya, Jennifer Anyanti, Dayyabu Yusuf, Kenneth Okoineme, Jennifer Adebambo, Samuel O. Ikani, Dennis Aizobu, Musa Abubakar, Babandi S. Zaharaddeen, Lawal Aminu, Yusuf H. Wada

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Effects of coal seam dip angle on asymmetric load transfer paths in the overburden of inclined stopes by Kaipeng ZHU, Shenghu LUO, Panshi XIE, Zhilin LI, Juan FAN, Chengyang TIAN, Leilei YI, Hui XU

“…ObjectivesThe coal seam dip angle is recognized as the root cause of far more complex load transfer paths in the overburden of inclined stopes compared to those of common coal seams. …”
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The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

“…Technology enhances efficiency by summarizing articles, recommending publications, and pointing researchers in the right path. …”
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Review on Key Technologies for Autonomous Navigation in Field Agricultural Machinery by Hongxuan Wu, Xinzhong Wang, Xuegeng Chen, Yafei Zhang, Yaowen Zhang

“…Autonomous navigation technology plays a crucial role in advancing smart agriculture by enhancing operational efficiency, optimizing resource utilization, and reducing labor dependency. …”
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A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning by Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

“…An effective path planning algorithm can greatly improve the operational efficiency of UAVs in complex environments like urban and mountainous areas, thus offering more extensive coverage for various tasks. …”
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