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  1. 1

    Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

    Published 2024-12-01
    “…With this learning path planning method, the average video learning time of students reaches a maximum of 80 min, while the average completion rate of students' course objectives is stable at 90%, which is about 20% higher than that of the GA-based learning path planning method. …”
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  2. 2

    Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

    Published 2024-08-01
    “…The coverage tasks of mobile robots are evolving towards large-scale and intelligent directions, demanding urgent requirements for the coverage efficiency and environmental adaptability of coverage path planning. To address the inadequate adaptability of the traditional boustrophedon cellular decomposition in complex maps and to improve coverage efficiency, a complete coverage path planning method is proposed. …”
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  3. 3

    Global and local path planning of robots combining ACO and dynamic window algorithm by Yaping Lu, Chen Da

    Published 2025-03-01
    “…Abstract As a key technology, robot path planning is of great significance in safely and efficiently completing tasks. …”
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  4. 4

    Path Planning for Agricultural UAVs Based on Deep Reinforcement Learning and Energy Consumption Constraints by Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Yunze Long, Jian Li

    Published 2025-04-01
    “…Although agricultural drones demonstrate potential to address these challenges, they face critical limitations in energy-constrained complete coverage path planning for field operations. …”
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    Article
  5. 5

    The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach by Xiaoqiang Dai, Chengye Liu, Qiang Lai, Xin Huang, Qingjun Zeng, Ming Liu

    Published 2025-02-01
    “…However, with the existing local path planning methods, it is difficult to meet the autonomous navigation needs of amphibious robots. …”
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    Article
  6. 6

    Global path planning algorithm for mining vehicles integrating simplified visibility graph and A* algorithm by ZHANG Chuanwei, LU Siyan, QIN Peilin, ZHOU Rui, ZHAO Ruiqi, YANG Jiajia, ZHANG Tianle, ZHAO Cong

    Published 2024-10-01
    “…Experimental results indicated that compared to the Complete Visibility Graph + A* algorithm, SVG + A* algorithm, and SVGCA* algorithm, the DVGA* algorithm had the shortest planning time for complex long-distance paths, with average path lengths reduced by 10.79%, 6.26%, and 2.86%, respectively, demonstrating stronger adaptability and higher planning success rates. …”
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  7. 7
  8. 8

    Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

    Published 2024-10-01
    “…Field tests showed that the global localization model achieved an accuracy of 2.215 cm, with a standard deviation of 1 cm, demonstrating stable positioning performance. Moreover, the global path maintained an average safe distance of 50.75 cm from the obstacle map. …”
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    Article
  9. 9

    Fuzzy Logic Unmanned Air Vehicle Motion Planning by Chelsea Sabo, Kelly Cohen

    Published 2012-01-01
    “…The FL controller was validated, and Monte Carlo testing was completed to evaluate the performance. Not only was the path traversed by the UAV often the exact path computed using an optimal method, the low failure rate makes the fuzzy logic controller (FLC) feasible for exploration. …”
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  10. 10
  11. 11

    Multi-Target Firefighting Task Planning Strategy for Multiple UAVs Under Dynamic Forest Fire Environment by Pei Zhu, Shize Jiang, Jiangao Zhang, Ziheng Xu, Zhi Sun, Quan Shao

    Published 2025-02-01
    “…This study proposed a multi-target firefighting task planning method of forest fires by multiple UAVs (Unmanned Aerial Vehicles) integrating task allocation and path planning. …”
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  12. 12

    YS3AM: Adaptive 3D Reconstruction and Harvesting Target Detection for Clustered Green Asparagus by Si Mu, Jian Liu, Ping Zhang, Jin Yuan, Xuemei Liu

    Published 2025-02-01
    “…This model provided essential spatial pathways for end-effector path planning, thereby fulfilling the operational requirements for efficient green asparagus harvesting robots.…”
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    Article
  13. 13

    EVALUATION OF DISCHARGE READINESS IN A PATIENT WITH SECONDARY STROKE: A CASE STUDY by Afrizal Nur Kadir, Yurike Septianingrum, Lono Wijayanti

    Published 2025-06-01
    “…These findings highlight the value of structured assessments like PATH-s in supporting clinical decision-making and individualized discharge planning. …”
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  14. 14

    A mobile robot safe planner for multiple tasks in human-shared environments. by Jian Mi, Xianbo Zhang, Zhongjie Long, Jun Wang, Wei Xu, Yue Xu, Shejun Deng

    Published 2025-01-01
    “…This structure aims to generating optimal paths while multitasking, avoiding collisions with humans moving completely randomly at the planning level instead of aiming at real-time collision avoidance. …”
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  15. 15

    Multi-controller balancing deployment strategy based on reliability evaluation in SDN by Tao HU, Jian-hui ZHANG, Teng MA, Wei ZHAO

    Published 2017-11-01
    “…The control plane has low reliability and controller loads were unbalanced in distributed software defined networks,and a multi-controller balancing deployment strategy based on reliability evaluation was proposed.Firstly,node reliability was evaluated by weighting node efficiency and path quality,optimizing the controller location with balancing factor.Then based on improved k-center clustering,the redundant functions was introduced and the switch allocation was completed according to node attractiveness degree and controller load balancing rate,achieving a reasonable SDN sub-domain planning.The simulations show that compared with the existing strategy the number of required controllers is reduced by an average of 22.1%.The control plane elasticity is enhanced,and the controller load balancing performance has been improved significantly.…”
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  16. 16

    Identifying effective factors on employee performance management with the approach of human resource development in research and technology organizations by Reza Shariati, Alireza Afshar Nejad, Maryam Majidi, Sirous Tadbiri

    Published 2025-02-01
    “…The four elements of human resource development are: training and development, career path development and planning, performance management and evaluation, and change management and succession planning (Golami et al, 2023). …”
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  17. 17

    Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

    Published 2024-11-01
    “…The experiment results demonstrate that the multi-layer perceptron-particle swarm optimization algorithm can quickly and accurately solve local planning problems, guiding robots to complete global paths with the same efficiency as expert solvers. …”
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    Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

    Published 2024-11-01
    “…Among these, group dynamics and team spirit, success motivation and talent assessment and completion of talent banks of employees, documentation and continuity in learning, creating motivation and success among employees with a weighted average of 4.9 are among the most important factors identified.Extended abstractIntroductionToday, fierce competition has prevailed in various jobs. …”
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  20. 20

    Presenting a model for the establishment and maintenance of expert human resources in the government organizations of Sistan and Baluchestan province by Majid Reza Dahmardeh, Vahid pourshahabi, Amin Reza Kamalian, Habibollah Salaerzehi

    Published 2024-11-01
    “…The results show that in this research, the dimensions of maintaining expert human resources include: behavioral, structural, contextual, and normative/attitudinal factors; and 31 components, based on the output of structural equation analysis and path analysis technique, the path coefficient of behavioral factors is 0.901, structural factors 0.886, contextual 0.821, and normative/attitudinal 0.840, in which the behavioral factors have the greatest impact and the job satisfaction component with a significant number obtained from the T-test equals 24.004 and the path coefficient 0.901 has played the greatest role in maintaining expert human resources in the government organizations of Sistan and Baluchistan provinceExtended abstractIntroductionHuman capital is considered the most complex and valuable capital in any organization, which plays the main role in realizing the organization's goals. …”
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