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  1. 301

    Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

    Published 2025-07-01
    “…This research addresses the robot path planning problem, aiming to enhance delivery efficiency and reduce operational costs through systematic improvements to the RIME optimization algorithm. …”
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    Article
  2. 302

    Computing real-time quantum path integrals on Sewed, almost-Lefschetz thimbles by Zong-Gang Mou, Paul M. Saffin, Anders Tranberg

    Published 2025-03-01
    “…Abstract We present a method to compute real-time path integrals numerically, by Monte-Carlo sampling on near-Lefschetz thimbles. …”
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    Article
  3. 303

    Airport Field Path Optimization Method Based on Conflict Hotspot Avoidance Mechanism by Wen Tian, Mingjian Yang, Xuefang Zhou, Jianan Yin, Xv Shi

    Published 2025-07-01
    “…The state path optimization model, alongside strategies like slowing down and waiting, aims to identify optimal aircraft routes that minimize the total taxi time and prevent conflicts. …”
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    Article
  4. 304

    A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish

    Published 2025-01-01
    “…Coverage Path Planning (CPP) is a fundamental aspect of mobile robotics, enabling robots to navigate dynamic environments efficiently while ensuring thorough coverage of all areas of interest and avoiding obstacles. …”
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  5. 305
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  7. 307

    Potential of Using the Ant Colony Optimization Algorithm for Optimal Network Path Selection by Oleksandra Yaroshevska, Veronika Kirova

    Published 2025-04-01
    “…An overview of the ACO algorithm, including its two primary components, the "ant" and "pheromone," is provided, highlighting its efficiency for the optimal network path selection. Detailed schemes, parameters and formulas of the ACO algorithm implementation in terms of networking are shown. …”
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    Article
  8. 308

    Research on Intelligent Navigation Technology: Intelligent Guidance and Path-Following Control of USVs by Xiaoyong Shang, Guoqing Zhang, Hongguang Lyu, Guifu Tan

    Published 2024-09-01
    “…Based on practical ocean engineering requirements, safety considerations, and energy efficiency demands, this paper summarizes the current research status, future research challenges, and potential solutions for USV intelligent guidance and path-following control algorithms from the perspective of large ship intelligence. …”
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    Article
  9. 309

    Multirobot Coverage Path Planning Based on Deep Q-Network in Unknown Environment by Wenhao Li, Tao Zhao, Songyi Dian

    Published 2022-01-01
    “…Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is selected as a part of the method in this paper after considering its powerful approximation ability to the optimal action value function. …”
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    Article
  10. 310

    Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

    Published 2022-01-01
    “…A mobile robot path planning method based on improved deep reinforcement learning is proposed. …”
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    Article
  11. 311

    Research and application of intelligent learning path optimization based on LSTM-Transformer model by Jinling Wang, Wandong Chai

    Published 2025-12-01
    “…In the global wave of digital learning, how to optimize personalized learning paths and improve learning efficiency has become a key issue to be solved urgently in the field of education. …”
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    Article
  12. 312

    Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

    Published 2025-06-01
    “…Under this background, analyzing the existing operation models and conducting research on innovative paths is of great reference significance for exploring the improvement and efficiency enhancement of urban parks.MethodsAt present, research on park operation in China is still in its infancy, with few results. …”
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    Article
  13. 313
  14. 314

    Recent Developments in Path Planning for Unmanned Ground Vehicles in Underground Mining Environment by Abdurauf Abdukodirov, Jörg Benndorf

    Published 2025-05-01
    “…This paper presents a thorough review of path-planning algorithms employed for the navigation of UGVs in underground mines. …”
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    Article
  15. 315

    Research on Path Optimization of Vehicle-Drone Joint Distribution considering Customer Priority by Xiaoye Zhou, Yuhao Feng

    Published 2024-01-01
    “…First, the goal is to minimize the sum of total distribution cost and customer priority cost integrating soft time windows and constructing a path optimization model of the vehicle-drone joint distribution. …”
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    Article
  16. 316
  17. 317

    Robotic arm path planning based on the improved dung beetle optimization algorithm by XUAN Yitong, LI Lijun, CHEN Haifei

    Published 2025-02-01
    “…ObjectiveA path planning algorithm based on an improved dung beetle optimization algorithm was proposed to address the challenges in complex scenarios where traditional algorithms for robotic arm path planning often suffer from low efficiency and susceptibility to local optima.MethodsFirstly, the robotic arm and obstacles were modeled using the bounding box method. …”
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  18. 318

    Evaluating and refining undersea cable path planning algorithms: A comparative study. by Tianjiao Wang, Zengfu Wang, Bill Moran, Xinyu Wang, Moshe Zukerman

    Published 2024-01-01
    “…Through this comparative analysis, we aim to provide insights into the efficiency and effectiveness of these methods in practical scenarios and provide a useful reference for the industry in choosing the best approach for automatic cable path planning software.…”
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  19. 319

    Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

    Published 2025-01-01
    “…The experimental results suggest that this strategy may significantly improve learning efficiency and optimize learning experience, as well as having substantial practical application value for individualized learning path creation. …”
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    Article
  20. 320

    Path Loss Characterization at the 1800 and 2100 MHz Frequency Bands in Citrus Plantations by Ricardo Robles-Enciso, Leandro Juan-Llacer, Jose-Maria Molina-Garcia-Pardo, Jose-Victor Rodriguez

    Published 2024-01-01
    “…In this paper, we develop a theoretical model for calculating the propagation path loss in a Line-of-Sight (LoS) context in a lemon plantation. …”
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    Article