Suchergebnisse - "sampling based algorithm"

  1. 1

    An Adaptive Rapidly-Exploring Random Tree von Li, Binghui, Chen, Badong

    ISSN: 2329-9266, 2329-9274
    Veröffentlicht: Piscataway Chinese Association of Automation (CAA) 01.02.2022
    Veröffentlicht in IEEE/CAA journal of automatica sinica (01.02.2022)
    “… Sampling-based planning algorithms play an important role in high degree-of-freedom motion planning (MP) problems, in which rapidly-exploring random tree (RRT) …”
    Volltext
    Journal Article
  2. 2

    AD-RRT: An RRT-based global path planning approach for underwater gliders with alpha shapes and DBSCAN von Li, Yang, Juan, Rongshun, Zhou, Yatao, Wang, Tianshu, Li, Zezhong, Guo, Wei, Gao, Zhongke

    ISSN: 0957-4174
    Veröffentlicht: Elsevier Ltd 01.10.2025
    Veröffentlicht in Expert systems with applications (01.10.2025)
    “… •Proposes a novel RRT*-based approach for global path planning.•Presents a preferred sampling strategy, enhancing sampling efficiency.•Proposes a feasibility …”
    Volltext
    Journal Article
  3. 3

    MINER-RRT: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments von Wang, Pengyu, Tang, Jiawei, Wang Lin, Hin, Zhang, Fan, Wang, Chaoqun, Wang, Jiankun, Shi, Ling, Meng, Max Q.-H.

    ISSN: 1545-5955, 1558-3783
    Veröffentlicht: IEEE 2025
    “… Trajectory planning for quadrotors in cluttered environments has been challenging in recent years. While many trajectory planning frameworks have been …”
    Volltext
    Journal Article
  4. 4

    FBi-RRT: a path planning algorithm for manipulators with heuristic node expansion von Xiao, Guangzhou, Zhang, Lixian, Wu, Tong, Han, Yuejiang, Ding, Yihang, Han, Chengzhe

    ISSN: 0263-5747, 1469-8668
    Veröffentlicht: Cambridge, UK Cambridge University Press 01.03.2024
    Veröffentlicht in Robotica (01.03.2024)
    “… This paper is concerned with the problem of collision-free path planning for manipulators in multi-obstacle scenarios. Aiming at overcoming the deficiencies of …”
    Volltext
    Journal Article
  5. 5

    Deep Neural Network Enhanced Sampling-Based Path Planning in 3D Space von Wang, Jiankun, Jia, Xiao, Zhang, Tianyi, Ma, Nachuan, Meng, Max Q.-H.

    ISSN: 1545-5955, 1558-3783
    Veröffentlicht: New York IEEE 01.10.2022
    “… Robot path planning in 3D space is a challenging problem for its complex configuration. Sampling-based algorithms have gained great success in solving path …”
    Volltext
    Journal Article
  6. 6

    Grid-based RRT∗ for minimum dose walking path-planning in complex radioactive environments von Chao, Nan, Liu, Yong-kuo, Xia, Hong, Ayodeji, Abiodun, Bai, Lu

    ISSN: 0306-4549, 1873-2100
    Veröffentlicht: Elsevier Ltd 01.05.2018
    Veröffentlicht in Annals of nuclear energy (01.05.2018)
    “… •A new algorithm was proposed by combining the principle of RRT∗ and the grid searching strategy.•The proposed method can work in continuous spaces without …”
    Volltext
    Journal Article
  7. 7

    Learning-Based Risk-Bounded Path Planning Under Environmental Uncertainty von Meng, Fei, Chen, Liangliang, Ma, Han, Wang, Jiankun, Meng, Max Q.-H.

    ISSN: 1545-5955, 1558-3783
    Veröffentlicht: IEEE 01.07.2024
    “… Building a general and efficient path planning framework in uncertain nonconvex environments is challenging due to the safety constraints and complex …”
    Volltext
    Journal Article
  8. 8

    FSMP: A Frontier-Sampling-Mixed Planner for Fast Autonomous Exploration of Complex and Large 3-D Environments von Zhang, Shiyong, Zhang, Xuebo, Dong, Qianli, Wang, Ziyu, Xi, Haobo, Yuan, Jing

    ISSN: 0018-9456, 1557-9662
    Veröffentlicht: New York IEEE 2025
    “… In this article, we propose a systematic framework for fast exploration of complex and large 3-D environments using micro aerial vehicles (MAVs). The key …”
    Volltext
    Journal Article
  9. 9

    Path Planning of a Mobile Robot Based on the Improved RRT Algorithm von Li, Xiangjie, Tong, Yala

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.01.2024
    Veröffentlicht in Applied sciences (01.01.2024)
    “… RRT (rapidly exploring random tree) is a sampling-based planning algorithm that has been widely used due to its simple structure and fast speed. However, the …”
    Volltext
    Journal Article
  10. 10

    FC-RRT: A modified RRT with rapid convergence in complex environments von Wang, Jing, Li, Junyang, Song, Yankui, Tuo, Yaoyao, Liu, Chengguo

    ISSN: 1877-7503, 1877-7511
    Veröffentlicht: Elsevier B.V 01.04.2024
    Veröffentlicht in Journal of computational science (01.04.2024)
    “… The Rapidly-exploring Random Tree algorithm (RRT) is currently the preferred algorithm for solving motion planning problems. It enables fast path generation on …”
    Volltext
    Journal Article
  11. 11

    PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers von Wang, Pengyu, Lin, Hin Wang, Li, Jialu, Wang, Jiankun, Shi, Ling, Meng, Max Q.-H.

    ISSN: 1545-5955, 1558-3783
    Veröffentlicht: IEEE 2025
    “… Using underwater robots instead of humans for the inspection of coastal piers can enhance efficiency while reducing risks. A key challenge in performing these …”
    Volltext
    Journal Article
  12. 12

    Sampling-Based Obstacle Avoidance Path Planning Algorithm for Nuclear Industry Manipulators in Narrow Environments von Huang, Ge, Liu, Guanyang, Niu, Yuanzhen, Wu, Dehui, Shen, Chenlin

    ISSN: 1083-4435, 1941-014X
    Veröffentlicht: IEEE 01.01.2025
    Veröffentlicht in IEEE/ASME transactions on mechatronics (01.01.2025)
    “… This article presents an efficient obstacle avoidance path planning algorithm for robotic manipulators, termed Bi-Balanced Rapidly-exploring Random Vine …”
    Volltext
    Journal Article
  13. 13

    Acceptance-Rejection Sampling-Guided Discrete RRT for Multiagent Path Finding von Xin, Jianbin, Duan, Yuze, Zhu, Hai, Liang, Jing

    ISSN: 1551-3203, 1941-0050
    Veröffentlicht: IEEE 2025
    “… Discrete rapid-exploring random tree (dRRT) methods have been proposed but remain to be improved, showing great potential for efficiently solving multiagent …”
    Volltext
    Journal Article
  14. 14

    Lipschitz-inspired HALRECT algorithm for derivative-free global optimization von Stripinis, Linas, Paulavičius, Remigijus

    ISSN: 0925-5001, 1573-2916
    Veröffentlicht: New York Springer US 01.01.2024
    Veröffentlicht in Journal of global optimization (01.01.2024)
    “… This article considers a box-constrained global optimization problem for Lipschitz-continuous functions with an unknown Lipschitz constant. Motivated by the …”
    Volltext
    Journal Article
  15. 15

    FF-RRT: a sampling-improved path planning algorithm for mobile robots against concave cavity obstacle von Cong, Jiping, Hu, Jianbo, Wang, Yingyang, He, Zihou, Han, Linxiao, Su, Maoyu

    ISSN: 2199-4536, 2198-6053
    Veröffentlicht: Cham Springer International Publishing 01.12.2023
    Veröffentlicht in Complex & intelligent systems (01.12.2023)
    “… The slow convergence rate and large cost of the initial solution limit the performance of rapidly exploring random tree star (RRT*). To address this issue, …”
    Volltext
    Journal Article
  16. 16

    HDM-RRT: A Fast HD-Map-Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment von Guo, Xiaomin, Cao, Yongxing, Zhou, Jian, Huang, Yuanxian, Li, Bijun

    ISSN: 2072-4292, 2072-4292
    Veröffentlicht: Basel MDPI AG 01.01.2023
    Veröffentlicht in Remote sensing (Basel, Switzerland) (01.01.2023)
    “… On campus, the complexity of the environment and the lack of regulatory constraints make it difficult to model the environment, resulting in less efficient …”
    Volltext
    Journal Article
  17. 17

    Two-Scale Stochastic Optimization for Controlling Distributed Storage Devices von Gangammanavar, Harsha, Sen, Suvrajeet

    ISSN: 1949-3053, 1949-3061
    Veröffentlicht: IEEE 01.07.2018
    Veröffentlicht in IEEE transactions on smart grid (01.07.2018)
    “… This paper is motivated by a power system with storage devices at multiple locations which need to be controlled at a much finer timescale than that necessary …”
    Volltext
    Journal Article
  18. 18

    Neural-network-driven method for optimal path planning via high-accuracy region prediction von Huang, Yuan, Tsao, Cheng-Tien, Shen, Tianyu, Lee, Hee-Hyol

    ISSN: 1433-5298, 1614-7456
    Veröffentlicht: Tokyo Springer Japan 01.02.2024
    Veröffentlicht in Artificial life and robotics (01.02.2024)
    “… Sampling-based path planning algorithms suffer from heavy reliance on uniform sampling, which accounts for unreliable and time-consuming performance, …”
    Volltext
    Journal Article
  19. 19

    Ffc-rrt: An adaptive hybrid sampling path planning algorithm with rapid initial solution convergence von Su, Zhang, Lv, Qiang, Huang, Zhen, Yu, Tingting, Wang, Xiangli

    ISSN: 1861-2776, 1861-2784
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2025
    Veröffentlicht in Intelligent service robotics (01.05.2025)
    “… The rapidly exploring random tree star (RRT*) algorithm is widely used in path planning due to its versatility and ability to adapt to various environments …”
    Volltext
    Journal Article
  20. 20

    An Improved RRT Algorithm for Efficient Local Path Planning in Autonomous Vehicles von Abdouni, Jawad, Jarou, Tarik, Waga, Abderrahim, Bensassi, Karima, koudia, Younes El

    ISSN: 1348-8503, 1868-8659
    Veröffentlicht: New York Springer US 01.08.2025
    Veröffentlicht in International journal of ITS research (01.08.2025)
    “… This study presents an enhanced variant of the Rapidly Exploring Random Tree (RRT) algorithm tailored for efficient local path planning in autonomous vehicles …”
    Volltext
    Journal Article