A Hybrid Dynamic Path-Planning Method for Obstacle Avoidance in Unmanned Aerial Vehicle-Based Power Inspection by Zheng Huang, Chengling Jiang, Chao Shen, Bin Liu, Tao Huang, Minghui Zhang

“…In complex inspection environments characterized by densely distributed and dynamic obstacles, traditional path-planning algorithms struggle to ensure both efficiency and safety. …”
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Path Planning Design and Experiment for a Recirculating Aquaculture AGV Based on Hybrid NRBO-ACO with Dueling DQN by Zhengjiang Guo, Yingkai Xia, Jiajun Liu, Jian Gao, Peng Wan, Kan Xu

“…The proposed AGV seamlessly integrates automated feeding, real-time monitoring, and an intelligent path-planning system to enhance operational efficiency. …”
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3D Dubins Curve-Based Path Planning for UUV in Unknown Environments Using an Improved RRT* Algorithm by Feng Pan, Peng Cui, Bo Cui, Weisheng Yan, Shouxu Zhang

“…This paper proposes a novel smooth path planning framework that integrates improved Rapidly-exploring Random Tree* (RRT*) with 3D Dubins curves to efficiently generate feasible and collision-free trajectories for nonholonomic UUVs. …”
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Optimized transmission of multi-path low-latency routing for electricity internet of things based on SDN task distribution. by Qi Jin

“…Facing the current problems of high data transmission delay, low efficiency, and large task volume in the electric power IoT, this research combines software-defined networking to design a multi-path low-latency routing and transmission model under the concept of task allocation. …”
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GO-GASA: Grid Optimization Genetic A* Algorithm for Mobile Robots Path Planning Utilizing Grid Optimization by Lishu Qin, Yu Gao, Ye Zheng

“…Path planning, as a central challenge in mobile robotics, directly impacts the operational efficiency and safety of robotic systems. …”
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Study of the Design Optimization of an AIGC Ordering Interface Under the Dual Paths of User Demand Mapping and Conflict Resolution by Zhixiong Huang, Hongxiang Song, Xinhui Hong

“…Based on user evaluations and controlled experiments, the optimized design demonstrates measurable improvements in task efficiency and visual appeal. Overall, the dual-path approach effectively bridges the gap between vague user needs and concrete design solutions, achieving a balanced integration of functionality, aesthetics, and interactivity. …”
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Human-in-the-Loop Reinforcement Learning to Track Excavation Paths for a Hydraulic Excavator in a Short Period of Time by Tatsuya Mori, Tatsuya Yoshimoto, Hiroshi Yoshida

“…However, it is challenging to automate hydraulic excavators due to the difficulty of modeling their nonlinear dynamics and soil interactions, which makes difficult to design a controller that tracks excavation paths precisely and quickly. Reinforcement learning (RL) is promising solution because it can learn to track excavation paths in a purely data-driven way, but simply applying RL may lead to an impractically long data collection time due to its low data efficiency. …”
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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

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Integrated method for multi-UAV task assignment and trajectory planning with deadlock based on Three-dimensional dubins path by Weinan Wu, Letian Zhang, Jiahao Le, Zeyu Lu

“…The distributed genetic algorithm has clear advantages over the traditional centralised genetic algorithm in terms of solution efficiency.…”
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Adaptive Improved Q-Learning Path Planning Algorithm Based on Obstacle Learning Matrix and Artificial Potential Field by Lieping Zhang, Hongyuan Chen, Xiaoxu Shi, Jianchu Zou, Yilin Wang

“…Finally, an APF-weighted action selection strategy is introduced, utilizing the guiding force generated by the APF to encourage the mobile robot to avoid obstacles more efficiently. Simulation results show that the proposed method can effectively reduce the number of iterations and time consumption in the optimization process, resulting in a smoother and more stable planned path.…”
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Tracking the Green Transition in the European Union Within the Framework of EU Cohesion Policy: Current Results and Future Paths by Lela Tijanić, Ines Kersan-Škabić

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Fast Dynamic P-RRT*-Based UAV Path Planning and Trajectory Tracking Control Under Dense Obstacles by Xiangyu Zhu, Yufeng Gao, Yanyan Li, Bo Li

“…Utilizing the potential function-based rapid-exploration random tree star (P-RRT*), a bidirectional dynamic informed P-RRT* (BDIP-RRT*) algorithm is first introduced to enhance sampling efficiency, facilitating swift path generation. To further optimize the initial path, a greedy algorithm is employed to minimize redundant segments within the generated path. …”
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Deformation, fracture characteristics and damage constitutive model of soft coal under true triaxial complex stress paths. by Chongyang Jiang, Lianguo Wang, Jiaxing Guo, Shuai Wang

“…Understanding the mechanical properties and damage deterioration mechanisms of soft coal under true triaxial complex stress paths is crucial for predicting and evaluating the stability of the roof during roadway excavation in thick soft coal seams. …”
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A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model by Aiguo Li, Yanfeng Deng

“…The improved algorithms are simulated and compared, and the results show that the paths generated by the improved algorithms are more reasonable, and the algorithms consume less time and have shorter path lengths.…”
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Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture by Chunyan Tong, Changhong Ren

“…A dual-objective optimization algorithm balances knowledge acquisition with cognitive load management to generate paths that maintain optimal challenge levels. Experimental evaluations across multiple educational domains demonstrate that our approach outperforms existing methods in prediction accuracy (87.5%), path quality (4.4/5), and learning efficiency (24.6% improvement). …”
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Multiple optical path length reflections enhancement based on balloon-type photoacoustic cell for trace gas sensing by Ruiming Wu, Wenjun Ni, Chunyong Yang, Bingze He, Ping Lu, Sixiang Ran, Zhongke Zhao, Perry Ping Shum

“…By strategically directing the excitation source towards the focal point of the ellipsoidal cavity, ensuring its trajectory traverses the focal point upon each reflection from the interior walls. This path increases the gas absorption path length and improves the efficiency of the laser-gas interaction process. …”
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Three-dimensional optical path extended gourd-type photoacoustic cell for highly sensitive trace acetylene sensing by Chuanwen Qian, Wenjun Ni, Chunyong Yang, Zhongke Zhao, Likang Zhang, Sixiang Ran, Chenyu Wang, Ping Lu, Perry Ping Shum

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A Path-Driven Fluid Routing and Scheduling Method for Continuous-Flow Microfluidic Biochips with Delay Time Optimization by Zhisheng Chen, Bowen Liu, Hongjin Su, Zhen Chen, Genggeng Liu, Xing Huang

“…This paper proposes an integrated path-driven methodology that jointly optimizes routing and application mapping. …”
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Improvement of the TEB Algorithm for Local Path Planning of Car-like Mobile Robots Based on Fuzzy Logic Control by Lei Chen, Rui Liu, Daiyang Jia, Sijing Xian, Guo Ma

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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

“…This paper introduces the parallel cooperative strategy reptile search algorithm (PC-RSA) for multi-robot path planning in such dynamic settings. Path planning is crucial for mobile robots, especially in multi-robot systems, requiring solutions that adapt quickly to changes while ensuring efficiency and robustness. …”
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